MétaCan
Menu
Back to cohort
Record W7011292118

LISTENING TO WRITING: a sociolinguistic enquiry into the creation of meaning and effect in modern American literature, focusing on the work of Kurt Vonnegut and George Saunders.

2011· dissertation· en· W7011292118 on OpenAlexaboutno aff

Bibliographic record

VenueSussex Research Online (University of Sussex) · 2011
Typedissertation
Languageen
FieldArts and Humanities
TopicAmerican Political and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Meaning (existential)George (robot)Active listeningConversationSociolinguisticsAmerican literatureWhite (mutation)Alienation
DOInot available

Abstract

fetched live from OpenAlex

This thesis proceeds in two modes, utilizing both a critical and a creative lens to think
\nabout the use of simple language in formal writing. It examines the production of a
\nregister that categorizes insider/outsider status (the mechanics) as well as interrogating
\nthe (un)conscious attempts of authors seeking to prise into or remain removed from
\nestablished cultural identity (the intention). It investigates the use of the vernacular and
\nthe informal in American writing in general and how it is ultimately reflected and
\nreworked through an autobiographical channel: an examination of voice, register, and
\ncode-switching in my own writing.
\n
\nThe first section, ‘Listening to Writing,’ is a forensic analysis of Vonnegut and Saunders,
\ntwo exemplars of literary informality in American writing. It seeks—employing the work
\nof Sarangi, Milroy, Hunston & Thompson and others to pinpoint, at a microanalytical
\nlevel, what makes the conversational conversational, and the sociolinguistic work of
\nAustin (performativity), Giles, Coupland, and Gumperz (accommodation and identity),
\nand Auer (code switching)—to investigate the authors’ specific manipulation of pitch and
\nregister to create effect. It also appraises the historical and cultural imperative of the
\nAmerican abhorrence of intellectualism and hence the disdain for high-flown language
\nand how that is reflected in not only the literature but also the very social self-positioning
\nof the authors.
\n
\nThe second section, ‘My Ice Age,’ is an autobiographical foray into outsider/insider,
\nnormal/abnormal categories and boundaries, extending the investigation of voice and register as examined above to explore the complex nature of belonging and alienation, of
\ncommunity and identity, from being a white boy in an Inuit settlement to being from an
\nInuit settlement in Los Angeles to the complexities of belonging and alienation that arise
\nfrom being gay. The juxtaposition of two different tones in ‘My Ice Age’ is used to
\nreflect the juxtapositions of geographic and temporal otherness, the distance (formality)
\nand increased vernacular in the Los Angeles sections reflecting a need to fit in, to forge a
\nplace for myself both geographically and socially through the use of voice and register.
\nBoth the critical and the creative lenses elucidate use of simple language and variations of
\nregisters to create sociological bonds/alienation. Simple language—and humour—forges
\ncommunion with reader. The adoption of the vernacular, therefore, has a purpose beyond
\nmere stylistics, in that it also is used in a social and community building (or razing) way.
\nIn other words, the use of informality becomes a performative speech act.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.316
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueSussex Research Online (University of Sussex)Same topicAmerican Political and Social DynamicsFrench-language works237,207