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Record W1584923762

Dialogisme et Polyphonie: approches linguistiques

2005· preprint· fr· W1584923762 on OpenAlexaff
Jacques Brès, Laurence Rosier, Sylvie Mellet, Henning Nølke

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2005
Typepreprint
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsCanadian Linguistic Association
Fundersnot available
KeywordsSociology
DOInot available

Abstract

fetched live from OpenAlex

Le present ouvrage est constitue des communications presentees lors du colloque Dialogisme, polyphonie : approches linguistiques (septembre 2004, Cerisy-la-Salle). Par-dela la diversite des positionnements et des approches, qui tient notamment au niveau ou l'on situe l'analyse - niveau macrotextuel du discours, niveau microtextuel de l'enonce - ainsi qu'a la pluralite des theories de l'enonciation qui les sollicitent, les notions de dialogisme et de polyphonie renvoient a un meme trait de l'unite linguistique analysee : son orientation vers d'autres unites, sa capacite a faire entendre plusieurs voix, ou a representer - plus ou moins nettement - plusieurs points de vue. Le colloque de Cerisy a permis de confronter les modelisations en presence et de mettre en debat les outils d'analyse ; de decrire certaines manifestations textuelles du dialogisme et de la polyphonie ; et d'etudier le fonctionnement de certains marqueurs d'heterogeneite enonciative. C'est autour de ces trois dimensions que se structurent les trois parties qui composent l'ouvrage.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0060.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.004

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 head0.024
GPT teacher head0.257
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations52
Published2005
Admission routes1
Has abstractyes

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