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Record W4230170272 · doi:10.1017/cbo9781139084727

Viewpoint in Language

2012· book· en· W4230170272 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook
Languageen
FieldArts and Humanities
Topiclinguistics and terminology studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLinguisticsPerspective (graphical)Cognitive linguisticsModalitiesGestureCognitionVocabularyCommon groundNarrativeStyle (visual arts)Cognitive sciencePsychologySociologyComputer scienceCommunicationArtificial intelligenceArtPhilosophyLiterature

Abstract

fetched live from OpenAlex

What makes us talk about viewpoint and perspective in linguistic analyses and in literary texts, as well as in landscape art? Is this shared vocabulary marking real connections between the disparate phenomena? This volume argues that human cognition is not only rooted in the human body, but also inherently 'viewpointed' as a result; consequently, so are language and communication. Dancygier and Sweetser bring together researchers who do not typically meet on common ground: analysts of narrative and literary style, linguists examining the uses of grammatical forms in signed and spoken languages, and analysts of gesture accompanying speech. Using models developed within cognitive linguistics, the book uncovers surprising functional similarities across various communicative forms, arguing for specific cognitive underpinnings of such correlations. What emerges is a new understanding of the role and structure of viewpoint and a groundbreaking methodology for investigating communicative choices across various modalities and discourse contexts.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.857
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.039
GPT teacher head0.206
Teacher spread0.167 · 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