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		<Text textformat="02">&lt;i&gt;Register and Discourse through the Lens of Corpus Linguistics&lt;/i&gt; offers a rigorous and engaging exploration of two of the field’s most dynamic areas. Drawing on key frameworks – including Construction Grammar, Corpus-Assisted Discourse Studies, Speech Act Theory, and Local Grammar – the volume showcases how qualitative and quantitative corpus-driven methods illuminate the interplay between linguistic form, communicative function, and contextual embedding. Across eleven chapters, contributors examine a breadth of linguistic features, from swearing, syntactic fragments, prenominal modification, nonstandard forms, and phraseology to interruption and humour, expressive acts, epistemic presupposition, expertise, and predictive stance. The studies span diverse settings – teen talk, Reddit forums, news media, historical newspapers, workplace interaction, political debate, and economic discourse – and incorporate synchronic and diachronic perspectives, as well as cross-linguistic comparisons. Collectively, the chapters demonstrate how register and discourse intersect as mutually informing dimensions of language use, enriching established research traditions and offering practical models for future inquiry. Their insights extend beyond corpus linguistics, resonating with scholarship in sociolinguistics, pragmatics, World Englishes, and applied linguistics.</Text>
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				<PersonName>Ignacio M. Palacios Martínez</PersonName>
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					<Text textformat="02">   This chapter examines the degree to which the swearing practices of British teens have changed over time considering young speakers are well-known for their high use of swear and taboo terms. Taking a corpus-based approach, it analyses the behaviour of a set of 12 swear word lemma forms and 14 slurs, using data from COLT (1990s), LIC (2004–2007), the BNC2014, and Drummond’s (2020) dataset. Findings show significant differences in the frequency of the 12 lemma forms across the four corpora. However, no evidence of an increasing use of slurs is found. In terms of the analysis as a whole, no major differences were identified in overall patterns. &lt;i&gt;Fuck&lt;/i&gt;, &lt;i&gt;shit&lt;/i&gt;, and &lt;i&gt;piss&lt;/i&gt; consistently exhibit the highest frequencies across all data sources, while &lt;i&gt;cunt&lt;/i&gt;, &lt;i&gt;wank&lt;/i&gt;(&lt;i&gt;er&lt;/i&gt;), and &lt;i&gt;cock&lt;/i&gt; are among the least frequent. Meanwhile, &lt;i&gt;bloody&lt;/i&gt; shows a clear decline in usage.</Text>
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			<TitleText textformat="02">Chapter 2. Investigating the role of  &lt;i&gt;no(t)-&lt;/i&gt; fragments in colloquialization</TitleText>
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					<Text textformat="02">   This chapter investigates colloquialization in British English through an analysis of &lt;i&gt;no(t)&lt;/i&gt;-fragments, that is, stand-alone noncanonical constructions beginning with &lt;i&gt;no&lt;/i&gt; or &lt;i&gt;not&lt;/i&gt; (e.g., &lt;i&gt;no doubt&lt;/i&gt;, &lt;i&gt;not in a million years&lt;/i&gt;). While such fragments are normally associated with conversation, they are not uncommon in writing, suggesting that colloquialization can help explain their distribution across registers. Building on prior research connecting clausal &lt;i&gt;no&lt;/i&gt;- and &lt;i&gt;not&lt;/i&gt;-negation to writing and speech styles, this study explores whether &lt;i&gt;no(t)&lt;/i&gt;-fragments follow similar trends. A comparison between the 1994 and the 2014 versions of the British National Corpus shows an increase in the use of &lt;i&gt;no(t)&lt;/i&gt;-fragments over time and a marked preference for them in speech-related contexts. Crucially, while &lt;i&gt;no(t)&lt;/i&gt;-fragments decline in conversation, they increase in writing. Rather than colloquialization, these observations reflect register levelling, a process that narrows the stylistic gap between speech and writing.</Text>
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			<TitleText textformat="02">Chapter 3. A diachronic register approach to complex prenominal modifiers</TitleText>
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				<PersonName>Turo Vartiainen</PersonName>
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				<PersonName>Aatu Liimatta</PersonName>
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				<KeyNames>Liimatta</KeyNames>
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					<SubjectHeadingText>complex premodifiers</SubjectHeadingText>
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					<SubjectHeadingText>Construction Grammar</SubjectHeadingText>
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					<SubjectHeadingText>densification</SubjectHeadingText>
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					<SubjectHeadingText>expressivity</SubjectHeadingText>
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					<SubjectHeadingText>magazines</SubjectHeadingText>
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					<SubjectHeadingText>newspapers</SubjectHeadingText>
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					<SubjectHeadingText>recent diachronic change</SubjectHeadingText>
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					<SubjectHeadingText>register</SubjectHeadingText>
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					<SubjectHeadingText>World Englishes</SubjectHeadingText>
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					<Text textformat="02">   This chapter examines the emergence and recent diachronic development as well as the global spread of complex prenominal modifiers that involve (i) a comparison (e.g., &lt;i&gt;

        &lt;b&gt;better-than-average&lt;/b&gt; health&lt;/i&gt;) and (ii) an adjective plus infinitival clause (e.g., &lt;i&gt;

        &lt;b&gt;easy-to-understand&lt;/b&gt; guidelines&lt;/i&gt;) in two short- and long-term diachronic corpora of American English that are balanced for register. We show that these modifiers are a register feature of popular magazines and news reporting — registers subject to economy of expression and densification. Additionally, data taken from a corpus consisting of web-based newspapers and magazines from 20 different varieties of English suggest that complex premodifiers have also spread globally to comparable registers, but to varying degrees: they are much more frequent in South-East Asian Englishes than in African Englishes, which we explain by a substrate effect.</Text>
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			<TitleText textformat="02">Chapter 4. Studying the historical enregisterment of  &lt;i&gt;ain’t&lt;/i&gt;  in nineteenth-century American newspapers</TitleText>
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				<PersonName>Lieselotte Anderwald</PersonName>
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					<SubjectHeadingText>dialect grammar</SubjectHeadingText>
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					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>newspapers</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>nineteenth-century American English</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>nonstandard English</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>stigmatization</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   In this chapter, I investigate whether and how we can trace the historical enregisterment of nonstandard features in historical newspaper data. The nineteenth century provides rich evidence of the increasing stigmatization of &lt;i&gt;ain’t&lt;/i&gt; in American English, through various text types that were common in newspapers at the time. In these texts, characterological figures are constructed as speakers of the nonstandard, involving the negative contraction &lt;i&gt;ain’t&lt;/i&gt; plus a host of other features. Over time, these characterological figures consolidate and become recognizable stereotypes that are imbued with social meaning, leading to the stigmatization of a complete register of linguistic features and their speakers — processes that can only be reconstructed with much qualitative, historical background work.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.05nad</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>123</FirstPageNumber>
				<LastPageNumber>157</LastPageNumber>
				<NumberOfPages>35</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>8</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 5. The function of “normal” in the U.S. COVID-19 news discourse</TitleText>
			<Subtitle textformat="02">An interplay between phraseology and quotation marks</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Zuzana Nádraská</PersonName>
				<PersonNameInverted>Nádraská, Zuzana</PersonNameInverted>
				<NamesBeforeKey>Zuzana</NamesBeforeKey>
				<KeyNames>Nádraská</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>Charles University</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>(local) semantic prosody</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>“normal”</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>clusters</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>collocation</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>concordance line (KWIC)</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>contextualization</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>dialogicality</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>quotation marks</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>semantic preference</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>U.S. COVID-19 news discourse</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter examines the function of the adjective and noun “normal” in the U.S. news discourse on the coronavirus/COVID-19. Adopting a pragmatic and corpus linguistic perspective, it shows how quotation marks work in conjunction with surrounding lexicogrammatical patterns to express the semantic preference and the “local” semantic prosody of “normal” (Tribble, 2000; Sinclair, 2004; Hunston, 2007; Gutzman &amp;#38; Stei, 2011; Partington, 2014; Meibauer, 2015). In U.S. pandemic news, “normal” functioned to express dialogic attitudes such as uncertainty, voice plurality and evaluation, predominantly negative. These attitudes targeted various aspects of “normal”, including its definition, existence and the prospect of returning to a prepandemic “normal”. Dialogic prosody is consistent with general features of news reporting, particularly news values and an emphasis on negative and disruptive events (White, 1997; Bednarek &amp;#38; Caple, 2017).</Text>
				</OtherText>
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			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.06and</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>158</FirstPageNumber>
				<LastPageNumber>181</LastPageNumber>
				<NumberOfPages>24</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>9</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 6. A corpus-based investigation of interruptions and humour in FOMC deliberations</TitleText>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Gisle Andersen</PersonName>
				<PersonNameInverted>Andersen, Gisle</PersonNameInverted>
				<NamesBeforeKey>Gisle</NamesBeforeKey>
				<KeyNames>Andersen</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>NHH Norwegian School of Economics</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
			<Contributor>
				<SequenceNumber>2</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Christian Langerfeld</PersonName>
				<PersonNameInverted>Langerfeld, Christian</PersonNameInverted>
				<NamesBeforeKey>Christian</NamesBeforeKey>
				<KeyNames>Langerfeld</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>NHH Norwegian School of Economics</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>Corpus-Assisted Discourse Studies</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>interactional sociolinguistics</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>meeting interaction</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>monetary policy</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>register</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter investigates the interaction of participants in high-stakes meetings, more specifically, the ways in which the deliberations of the Federal Open Market Committee (FOMC) in the United States are characterized by interruptions and humour. We explore the recently compiled FOMC corpus (Langerfeld &amp;#38; Andersen, 2023) that contains approximately 12-million tokens of meeting transcripts from 1987 to 2018. The FOMC is part of the U.S. Federal Reserve System and makes key decisions on monetary policy that impact the American and global economies, such as the key interest rate. Methodologically, we base our study on a complementary quantitative and qualitative approach, as embodied in the framework of Corpus-Assisted Discourse Studies (Partington, 2004; Partington &amp;#38; Marchi, 2015; Gillings et al., 2023). Our findings show that humour is utilized commonly by chairs and delegates in ways which are similar to but also distinct from everyday conversational humour (Norrick, 2003) and from humour in the workplace more generally (Holmes &amp;#38; Stubbe, 2003). They also show that, although interruption is inherently a disruptive discourse strategy, it also contributes to driving the deliberations forward and leading to the decisions and outputs that this community of practice is expected to deliver.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.07def</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>182</FirstPageNumber>
				<LastPageNumber>208</LastPageNumber>
				<NumberOfPages>27</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>10</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 7. Beyond the transactional</TitleText>
			<Subtitle textformat="02">Identifying and analysing expressive speech acts in workplace emails</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Rachele De Felice</PersonName>
				<PersonNameInverted>Felice, Rachele De</PersonNameInverted>
				<NamesBeforeKey>Rachele</NamesBeforeKey>
				<PrefixToKey>De</PrefixToKey>
				<KeyNames>Felice</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>The Open University</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>corpus pragmatics</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>emotions</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>expressives</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>pragmatic annotation</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>speech acts</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>workplace emails</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter investigates the use of expressive speech acts in two corpora of workplace emails. It expands Ronan’s (2015) categorization scheme for expressives and applies it to over 1,100 authentic examples of expressives extracted from emails in the Enron Corpus. The chapter presents the lexical and phraseological properties of these utterances, together with a qualitative analysis of both this data and further data from the Clinton Email Corpus. There is a particular focus on utterances representing emotions such as joy, sorrow, agreement, and disagreement, which are found to interact closely with the degree of closeness between the interlocutors. The corpus data supports the need for a fine-grained categorization scheme for expressives, and for the importance of interactional communication in the workplace.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.08rom</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>209</FirstPageNumber>
				<LastPageNumber>240</LastPageNumber>
				<NumberOfPages>32</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>11</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 8. Concealed responsibility and implicit meaning</TitleText>
			<Subtitle textformat="02">Nonpersonal epistemic stance presupposition triggers in UK Conservative parliamentary and newspaper opinion migration discourse</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Elena Domínguez Romero</PersonName>
				<PersonNameInverted>Romero, Elena Domínguez</PersonNameInverted>
				<NamesBeforeKey>Elena Domínguez</NamesBeforeKey>
				<KeyNames>Romero</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>Complutense University of Madrid</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
			<Contributor>
				<SequenceNumber>2</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Marta Carretero</PersonName>
				<PersonNameInverted>Carretero, Marta</PersonNameInverted>
				<NamesBeforeKey>Marta</NamesBeforeKey>
				<KeyNames>Carretero</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>Complutense University of Madrid</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
			<Contributor>
				<SequenceNumber>3</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Mercedes González Vázquez</PersonName>
				<PersonNameInverted>González Vázquez, Mercedes</PersonNameInverted>
				<NamesBeforeKey>Mercedes</NamesBeforeKey>
				<KeyNames>González Vázquez</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Vigo</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>cognitive attitude</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>Critical Discourse Analysis</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>epistemic stance</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>factivity</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>implicitness</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>newspaper discourse</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>nonpersonal</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>political discourse</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>presupposition</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter investigates the ways in which epistemic stance expressions (e.g., &lt;i&gt;perhaps&lt;/i&gt;, &lt;i&gt;probably&lt;/i&gt;, &lt;i&gt;I believe&lt;/i&gt;, &lt;i&gt;it is known&lt;/i&gt;, etc.) function in two registers of persuasive discourse: parliamentary debate and opinion journalism. It focuses on expressions that operate on two levels of implicitness — by concealing the epistemic source (speaker or writer) and by encoding the proposition within their scope as a presupposition. Drawing on two 60,000-word corpora — UK Conservative parliamentary debates (ANSARD) and &lt;i&gt;The Telegraph&lt;/i&gt; opinion articles — which cover three major refugee crises and irregular immigration scenarios (2015, 2021, 2022–2023), the analysis identifies key differences in the distribution and discourse function of these expressions. Findings show that nonpersonal presupposition-triggering epistemic stance expressions are significantly more frequent in &lt;i&gt;The Telegraph&lt;/i&gt; and in refugee discourse, where they legitimize selective support — especially for Ukrainian refugees — by constructing moral hierarchies and pre-empting dissent.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.09hil</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>241</FirstPageNumber>
				<LastPageNumber>265</LastPageNumber>
				<NumberOfPages>25</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>12</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 9. “I’m not a scientist but I did study physics”</TitleText>
			<Subtitle textformat="02">Exploring grammatical patterns of expertise on Reddit</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Turo Hiltunen</PersonName>
				<PersonNameInverted>Hiltunen, Turo</PersonNameInverted>
				<NamesBeforeKey>Turo</NamesBeforeKey>
				<KeyNames>Hiltunen</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Helsinki</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>computer-mediated communication</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>discourse analysis</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>expertise</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>lexicogrammar</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>local grammar</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>Reddit</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter examines how references to expert knowledge are used as rhetorical resources in public online discourse, focusing on Reddit discussions related to science and technology. In light of a broader crisis of expertise, where traditional scientific authority is increasingly contested in public discourses, the study investigates how terms such as &lt;i&gt;expert&lt;/i&gt; and &lt;i&gt;scientist&lt;/i&gt; function rhetorically on Reddit. Adopting a corpus-pragmatic framework with form-to-function mapping, the study identifies lexicogrammatical patterns associated with these terms and interprets their discourse functions using the framework of local grammars. The analysis suggests that references to expertise are not only employed to enhance the credibility of claims through appeals to an authority, but also for downplaying the importance of expertise through disclaimers, which are pragmatically appropriate given the informal and conversational nature of the register of Reddit. By contextualizing the findings within sociological theories of expertise, the chapter provides insights into how expertise is conceptualized and negotiated in participatory digital environments.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.10mus</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>266</FirstPageNumber>
				<LastPageNumber>294</LastPageNumber>
				<NumberOfPages>29</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>13</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 10. Deconstructing economists’ arguments in the twentieth century</TitleText>
			<Subtitle textformat="02">A diachronic cross-linguistic study of economic claims through epistemic and attitudinal stance devices in the LexEcon corpus</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Maria Teresa Musacchio</PersonName>
				<PersonNameInverted>Musacchio, Maria Teresa</PersonNameInverted>
				<NamesBeforeKey>Maria Teresa</NamesBeforeKey>
				<KeyNames>Musacchio</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Trieste</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
			<Contributor>
				<SequenceNumber>2</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Dario Del Fante</PersonName>
				<PersonNameInverted>Del Fante, Dario</PersonNameInverted>
				<NamesBeforeKey>Dario</NamesBeforeKey>
				<KeyNames>Del Fante</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Ferrara</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>attitudinal stance markers</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>cross-linguistic Corpus-Assisted Discourse Studies</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>diachronic corpus linguistics</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>economic discourse</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>epistemic stance markers</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter investigates economic discourse and argumentation across a corpus of English and Italian theoretical treatises, textbooks, and handbooks published between 1900 and 1990. We examine how epistemic and attitudinal stance markers are used to construct economic claims. By triangulating data with previous research, the analysis identifies claim-expositive lexis and concurrent markers, comparing claim presentation in theoretical treatises with that found in educational textbooks. Utilising Wmatrix7 software, we also explore key semantic domains. Results reveal consistent patterns in conveying epistemic and attitudinal stance through adverbs and complement clauses in English and Italian. &lt;i&gt;Money&lt;/i&gt; and related subjects are identified as common semantic domains across both languages. The overarching aim is to provide a diachronic view of the evolution of argumentation in economics.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.11qui</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>295</FirstPageNumber>
				<LastPageNumber>321</LastPageNumber>
				<NumberOfPages>27</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>14</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 11. The verbal expression of prediction in economics</TitleText>
			<Subtitle textformat="02">A diachronic corpus analysis of English and Italian across the twentieth century</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Carla Quinci</PersonName>
				<PersonNameInverted>Quinci, Carla</PersonNameInverted>
				<NamesBeforeKey>Carla</NamesBeforeKey>
				<KeyNames>Quinci</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Padua</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>cross-linguistic analysis</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>diachronic corpora</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>economic prediction</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>English</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>Italian</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>LexEcon corpus</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter presents a diachronic, corpus-based analysis of modal and lexical verbs used in economic predictions across twentieth-century English and Italian academic texts. Focusing on their frequency, distribution, and epistemic function, the study reveals cross-linguistic and temporal patterns in how economists express prediction, possibility, and obligation. It also provides evidence in support of previous observations concerning modality and the epistemic status of modal and predictive verbs. The data indicate a strong preference for verbs and modalities with high epistemic strength, while speculative or informal lexical verbs are systematically avoided. Diachronic trends highlight a growing assertiveness in English economic discourse and a slightly more variable pattern in Italian, with hypotheses appearing far more prominent than predictions.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
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		<Text textformat="02">&lt;i&gt;Register and Discourse through the Lens of Corpus Linguistics&lt;/i&gt; offers a rigorous and engaging exploration of two of the field’s most dynamic areas. Drawing on key frameworks – including Construction Grammar, Corpus-Assisted Discourse Studies, Speech Act Theory, and Local Grammar – the volume showcases how qualitative and quantitative corpus-driven methods illuminate the interplay between linguistic form, communicative function, and contextual embedding. Across eleven chapters, contributors examine a breadth of linguistic features, from swearing, syntactic fragments, prenominal modification, nonstandard forms, and phraseology to interruption and humour, expressive acts, epistemic presupposition, expertise, and predictive stance. The studies span diverse settings – teen talk, Reddit forums, news media, historical newspapers, workplace interaction, political debate, and economic discourse – and incorporate synchronic and diachronic perspectives, as well as cross-linguistic comparisons. Collectively, the chapters demonstrate how register and discourse intersect as mutually informing dimensions of language use, enriching established research traditions and offering practical models for future inquiry. Their insights extend beyond corpus linguistics, resonating with scholarship in sociolinguistics, pragmatics, World Englishes, and applied linguistics.</Text>
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					<Text textformat="02">   This chapter examines the degree to which the swearing practices of British teens have changed over time considering young speakers are well-known for their high use of swear and taboo terms. Taking a corpus-based approach, it analyses the behaviour of a set of 12 swear word lemma forms and 14 slurs, using data from COLT (1990s), LIC (2004–2007), the BNC2014, and Drummond’s (2020) dataset. Findings show significant differences in the frequency of the 12 lemma forms across the four corpora. However, no evidence of an increasing use of slurs is found. In terms of the analysis as a whole, no major differences were identified in overall patterns. &lt;i&gt;Fuck&lt;/i&gt;, &lt;i&gt;shit&lt;/i&gt;, and &lt;i&gt;piss&lt;/i&gt; consistently exhibit the highest frequencies across all data sources, while &lt;i&gt;cunt&lt;/i&gt;, &lt;i&gt;wank&lt;/i&gt;(&lt;i&gt;er&lt;/i&gt;), and &lt;i&gt;cock&lt;/i&gt; are among the least frequent. Meanwhile, &lt;i&gt;bloody&lt;/i&gt; shows a clear decline in usage.</Text>
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					<Text textformat="02">   This chapter investigates colloquialization in British English through an analysis of &lt;i&gt;no(t)&lt;/i&gt;-fragments, that is, stand-alone noncanonical constructions beginning with &lt;i&gt;no&lt;/i&gt; or &lt;i&gt;not&lt;/i&gt; (e.g., &lt;i&gt;no doubt&lt;/i&gt;, &lt;i&gt;not in a million years&lt;/i&gt;). While such fragments are normally associated with conversation, they are not uncommon in writing, suggesting that colloquialization can help explain their distribution across registers. Building on prior research connecting clausal &lt;i&gt;no&lt;/i&gt;- and &lt;i&gt;not&lt;/i&gt;-negation to writing and speech styles, this study explores whether &lt;i&gt;no(t)&lt;/i&gt;-fragments follow similar trends. A comparison between the 1994 and the 2014 versions of the British National Corpus shows an increase in the use of &lt;i&gt;no(t)&lt;/i&gt;-fragments over time and a marked preference for them in speech-related contexts. Crucially, while &lt;i&gt;no(t)&lt;/i&gt;-fragments decline in conversation, they increase in writing. Rather than colloquialization, these observations reflect register levelling, a process that narrows the stylistic gap between speech and writing.</Text>
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					<SubjectHeadingText>register</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>World Englishes</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter examines the emergence and recent diachronic development as well as the global spread of complex prenominal modifiers that involve (i) a comparison (e.g., &lt;i&gt;

        &lt;b&gt;better-than-average&lt;/b&gt; health&lt;/i&gt;) and (ii) an adjective plus infinitival clause (e.g., &lt;i&gt;

        &lt;b&gt;easy-to-understand&lt;/b&gt; guidelines&lt;/i&gt;) in two short- and long-term diachronic corpora of American English that are balanced for register. We show that these modifiers are a register feature of popular magazines and news reporting — registers subject to economy of expression and densification. Additionally, data taken from a corpus consisting of web-based newspapers and magazines from 20 different varieties of English suggest that complex premodifiers have also spread globally to comparable registers, but to varying degrees: they are much more frequent in South-East Asian Englishes than in African Englishes, which we explain by a substrate effect.</Text>
				</OtherText>
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				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.04and</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>91</FirstPageNumber>
				<LastPageNumber>122</LastPageNumber>
				<NumberOfPages>32</NumberOfPages>
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		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>7</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 4. Studying the historical enregisterment of  &lt;i&gt;ain’t&lt;/i&gt;  in nineteenth-century American newspapers</TitleText>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Lieselotte Anderwald</PersonName>
				<PersonNameInverted>Anderwald, Lieselotte</PersonNameInverted>
				<NamesBeforeKey>Lieselotte</NamesBeforeKey>
				<KeyNames>Anderwald</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Kiel</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>ain’t</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>dialect grammar</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>enregisterment</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>newspapers</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>nineteenth-century American English</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>nonstandard English</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>stigmatization</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   In this chapter, I investigate whether and how we can trace the historical enregisterment of nonstandard features in historical newspaper data. The nineteenth century provides rich evidence of the increasing stigmatization of &lt;i&gt;ain’t&lt;/i&gt; in American English, through various text types that were common in newspapers at the time. In these texts, characterological figures are constructed as speakers of the nonstandard, involving the negative contraction &lt;i&gt;ain’t&lt;/i&gt; plus a host of other features. Over time, these characterological figures consolidate and become recognizable stereotypes that are imbued with social meaning, leading to the stigmatization of a complete register of linguistic features and their speakers — processes that can only be reconstructed with much qualitative, historical background work.</Text>
				</OtherText>
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			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.05nad</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>123</FirstPageNumber>
				<LastPageNumber>157</LastPageNumber>
				<NumberOfPages>35</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>8</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 5. The function of “normal” in the U.S. COVID-19 news discourse</TitleText>
			<Subtitle textformat="02">An interplay between phraseology and quotation marks</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Zuzana Nádraská</PersonName>
				<PersonNameInverted>Nádraská, Zuzana</PersonNameInverted>
				<NamesBeforeKey>Zuzana</NamesBeforeKey>
				<KeyNames>Nádraská</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>Charles University</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>(local) semantic prosody</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>“normal”</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>clusters</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>collocation</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>concordance line (KWIC)</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>contextualization</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>dialogicality</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>quotation marks</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>semantic preference</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>U.S. COVID-19 news discourse</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter examines the function of the adjective and noun “normal” in the U.S. news discourse on the coronavirus/COVID-19. Adopting a pragmatic and corpus linguistic perspective, it shows how quotation marks work in conjunction with surrounding lexicogrammatical patterns to express the semantic preference and the “local” semantic prosody of “normal” (Tribble, 2000; Sinclair, 2004; Hunston, 2007; Gutzman &amp;#38; Stei, 2011; Partington, 2014; Meibauer, 2015). In U.S. pandemic news, “normal” functioned to express dialogic attitudes such as uncertainty, voice plurality and evaluation, predominantly negative. These attitudes targeted various aspects of “normal”, including its definition, existence and the prospect of returning to a prepandemic “normal”. Dialogic prosody is consistent with general features of news reporting, particularly news values and an emphasis on negative and disruptive events (White, 1997; Bednarek &amp;#38; Caple, 2017).</Text>
				</OtherText>
	</ContentItem>
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			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.06and</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>158</FirstPageNumber>
				<LastPageNumber>181</LastPageNumber>
				<NumberOfPages>24</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>9</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 6. A corpus-based investigation of interruptions and humour in FOMC deliberations</TitleText>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Gisle Andersen</PersonName>
				<PersonNameInverted>Andersen, Gisle</PersonNameInverted>
				<NamesBeforeKey>Gisle</NamesBeforeKey>
				<KeyNames>Andersen</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>NHH Norwegian School of Economics</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
			<Contributor>
				<SequenceNumber>2</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Christian Langerfeld</PersonName>
				<PersonNameInverted>Langerfeld, Christian</PersonNameInverted>
				<NamesBeforeKey>Christian</NamesBeforeKey>
				<KeyNames>Langerfeld</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>NHH Norwegian School of Economics</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>Corpus-Assisted Discourse Studies</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>interactional sociolinguistics</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>meeting interaction</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>monetary policy</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>register</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter investigates the interaction of participants in high-stakes meetings, more specifically, the ways in which the deliberations of the Federal Open Market Committee (FOMC) in the United States are characterized by interruptions and humour. We explore the recently compiled FOMC corpus (Langerfeld &amp;#38; Andersen, 2023) that contains approximately 12-million tokens of meeting transcripts from 1987 to 2018. The FOMC is part of the U.S. Federal Reserve System and makes key decisions on monetary policy that impact the American and global economies, such as the key interest rate. Methodologically, we base our study on a complementary quantitative and qualitative approach, as embodied in the framework of Corpus-Assisted Discourse Studies (Partington, 2004; Partington &amp;#38; Marchi, 2015; Gillings et al., 2023). Our findings show that humour is utilized commonly by chairs and delegates in ways which are similar to but also distinct from everyday conversational humour (Norrick, 2003) and from humour in the workplace more generally (Holmes &amp;#38; Stubbe, 2003). They also show that, although interruption is inherently a disruptive discourse strategy, it also contributes to driving the deliberations forward and leading to the decisions and outputs that this community of practice is expected to deliver.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.07def</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>182</FirstPageNumber>
				<LastPageNumber>208</LastPageNumber>
				<NumberOfPages>27</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>10</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 7. Beyond the transactional</TitleText>
			<Subtitle textformat="02">Identifying and analysing expressive speech acts in workplace emails</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Rachele De Felice</PersonName>
				<PersonNameInverted>Felice, Rachele De</PersonNameInverted>
				<NamesBeforeKey>Rachele</NamesBeforeKey>
				<PrefixToKey>De</PrefixToKey>
				<KeyNames>Felice</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>The Open University</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>corpus pragmatics</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>emotions</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>expressives</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>pragmatic annotation</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>speech acts</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>workplace emails</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter investigates the use of expressive speech acts in two corpora of workplace emails. It expands Ronan’s (2015) categorization scheme for expressives and applies it to over 1,100 authentic examples of expressives extracted from emails in the Enron Corpus. The chapter presents the lexical and phraseological properties of these utterances, together with a qualitative analysis of both this data and further data from the Clinton Email Corpus. There is a particular focus on utterances representing emotions such as joy, sorrow, agreement, and disagreement, which are found to interact closely with the degree of closeness between the interlocutors. The corpus data supports the need for a fine-grained categorization scheme for expressives, and for the importance of interactional communication in the workplace.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.08rom</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>209</FirstPageNumber>
				<LastPageNumber>240</LastPageNumber>
				<NumberOfPages>32</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>11</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 8. Concealed responsibility and implicit meaning</TitleText>
			<Subtitle textformat="02">Nonpersonal epistemic stance presupposition triggers in UK Conservative parliamentary and newspaper opinion migration discourse</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Elena Domínguez Romero</PersonName>
				<PersonNameInverted>Romero, Elena Domínguez</PersonNameInverted>
				<NamesBeforeKey>Elena Domínguez</NamesBeforeKey>
				<KeyNames>Romero</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>Complutense University of Madrid</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
			<Contributor>
				<SequenceNumber>2</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Marta Carretero</PersonName>
				<PersonNameInverted>Carretero, Marta</PersonNameInverted>
				<NamesBeforeKey>Marta</NamesBeforeKey>
				<KeyNames>Carretero</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>Complutense University of Madrid</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
			<Contributor>
				<SequenceNumber>3</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Mercedes González Vázquez</PersonName>
				<PersonNameInverted>González Vázquez, Mercedes</PersonNameInverted>
				<NamesBeforeKey>Mercedes</NamesBeforeKey>
				<KeyNames>González Vázquez</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Vigo</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>cognitive attitude</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>Critical Discourse Analysis</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>epistemic stance</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>factivity</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>implicitness</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>newspaper discourse</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>nonpersonal</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>political discourse</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>presupposition</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter investigates the ways in which epistemic stance expressions (e.g., &lt;i&gt;perhaps&lt;/i&gt;, &lt;i&gt;probably&lt;/i&gt;, &lt;i&gt;I believe&lt;/i&gt;, &lt;i&gt;it is known&lt;/i&gt;, etc.) function in two registers of persuasive discourse: parliamentary debate and opinion journalism. It focuses on expressions that operate on two levels of implicitness — by concealing the epistemic source (speaker or writer) and by encoding the proposition within their scope as a presupposition. Drawing on two 60,000-word corpora — UK Conservative parliamentary debates (ANSARD) and &lt;i&gt;The Telegraph&lt;/i&gt; opinion articles — which cover three major refugee crises and irregular immigration scenarios (2015, 2021, 2022–2023), the analysis identifies key differences in the distribution and discourse function of these expressions. Findings show that nonpersonal presupposition-triggering epistemic stance expressions are significantly more frequent in &lt;i&gt;The Telegraph&lt;/i&gt; and in refugee discourse, where they legitimize selective support — especially for Ukrainian refugees — by constructing moral hierarchies and pre-empting dissent.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.09hil</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>241</FirstPageNumber>
				<LastPageNumber>265</LastPageNumber>
				<NumberOfPages>25</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>12</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 9. “I’m not a scientist but I did study physics”</TitleText>
			<Subtitle textformat="02">Exploring grammatical patterns of expertise on Reddit</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Turo Hiltunen</PersonName>
				<PersonNameInverted>Hiltunen, Turo</PersonNameInverted>
				<NamesBeforeKey>Turo</NamesBeforeKey>
				<KeyNames>Hiltunen</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Helsinki</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>computer-mediated communication</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>discourse analysis</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>expertise</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>lexicogrammar</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>local grammar</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>Reddit</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter examines how references to expert knowledge are used as rhetorical resources in public online discourse, focusing on Reddit discussions related to science and technology. In light of a broader crisis of expertise, where traditional scientific authority is increasingly contested in public discourses, the study investigates how terms such as &lt;i&gt;expert&lt;/i&gt; and &lt;i&gt;scientist&lt;/i&gt; function rhetorically on Reddit. Adopting a corpus-pragmatic framework with form-to-function mapping, the study identifies lexicogrammatical patterns associated with these terms and interprets their discourse functions using the framework of local grammars. The analysis suggests that references to expertise are not only employed to enhance the credibility of claims through appeals to an authority, but also for downplaying the importance of expertise through disclaimers, which are pragmatically appropriate given the informal and conversational nature of the register of Reddit. By contextualizing the findings within sociological theories of expertise, the chapter provides insights into how expertise is conceptualized and negotiated in participatory digital environments.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
			<TextItemType>10</TextItemType>
			<TextItemIdentifier>
				<TextItemIDType>01</TextItemIDType>
				<IDTypeName>JB code</IDTypeName>
				<IDValue>scl.127.10mus</IDValue>
			</TextItemIdentifier>
				<FirstPageNumber>266</FirstPageNumber>
				<LastPageNumber>294</LastPageNumber>
				<NumberOfPages>29</NumberOfPages>
		</TextItem>
		<ComponentTypeName>Chapter</ComponentTypeName>
		<ComponentNumber>13</ComponentNumber>
		<Title>
			<TitleType>01</TitleType>
			<TitleText textformat="02">Chapter 10. Deconstructing economists’ arguments in the twentieth century</TitleText>
			<Subtitle textformat="02">A diachronic cross-linguistic study of economic claims through epistemic and attitudinal stance devices in the LexEcon corpus</Subtitle>
		</Title>
			<Contributor>
				<SequenceNumber>1</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Maria Teresa Musacchio</PersonName>
				<PersonNameInverted>Musacchio, Maria Teresa</PersonNameInverted>
				<NamesBeforeKey>Maria Teresa</NamesBeforeKey>
				<KeyNames>Musacchio</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Trieste</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
			<Contributor>
				<SequenceNumber>2</SequenceNumber>
				<ContributorRole>A01</ContributorRole>
				<PersonName>Dario Del Fante</PersonName>
				<PersonNameInverted>Del Fante, Dario</PersonNameInverted>
				<NamesBeforeKey>Dario</NamesBeforeKey>
				<KeyNames>Del Fante</KeyNames>
				<ProfessionalAffiliation>
					<Affiliation>University of Ferrara</Affiliation>
				</ProfessionalAffiliation>
			</Contributor>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>attitudinal stance markers</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>cross-linguistic Corpus-Assisted Discourse Studies</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>diachronic corpus linguistics</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>economic discourse</SubjectHeadingText>
				</Subject>
				<Subject>
					<SubjectSchemeIdentifier>20</SubjectSchemeIdentifier>
					<SubjectHeadingText>epistemic stance markers</SubjectHeadingText>
				</Subject>
				<OtherText>
					<TextTypeCode>01</TextTypeCode>
					<Text textformat="02">   This chapter investigates economic discourse and argumentation across a corpus of English and Italian theoretical treatises, textbooks, and handbooks published between 1900 and 1990. We examine how epistemic and attitudinal stance markers are used to construct economic claims. By triangulating data with previous research, the analysis identifies claim-expositive lexis and concurrent markers, comparing claim presentation in theoretical treatises with that found in educational textbooks. Utilising Wmatrix7 software, we also explore key semantic domains. Results reveal consistent patterns in conveying epistemic and attitudinal stance through adverbs and complement clauses in English and Italian. &lt;i&gt;Money&lt;/i&gt; and related subjects are identified as common semantic domains across both languages. The overarching aim is to provide a diachronic view of the evolution of argumentation in economics.</Text>
				</OtherText>
	</ContentItem>
	<ContentItem>
		<TextItem>
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			<TitleText textformat="02">Chapter 11. The verbal expression of prediction in economics</TitleText>
			<Subtitle textformat="02">A diachronic corpus analysis of English and Italian across the twentieth century</Subtitle>
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				<PersonName>Carla Quinci</PersonName>
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					<SubjectHeadingText>cross-linguistic analysis</SubjectHeadingText>
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					<SubjectHeadingText>economic prediction</SubjectHeadingText>
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					<Text textformat="02">   This chapter presents a diachronic, corpus-based analysis of modal and lexical verbs used in economic predictions across twentieth-century English and Italian academic texts. Focusing on their frequency, distribution, and epistemic function, the study reveals cross-linguistic and temporal patterns in how economists express prediction, possibility, and obligation. It also provides evidence in support of previous observations concerning modality and the epistemic status of modal and predictive verbs. The data indicate a strong preference for verbs and modalities with high epistemic strength, while speculative or informal lexical verbs are systematically avoided. Diachronic trends highlight a growing assertiveness in English economic discourse and a slightly more variable pattern in Italian, with hypotheses appearing far more prominent than predictions.</Text>
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