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Record W4406781827 · doi:10.1075/li.00119.col

Quel rôle discursif donner à un marqueur de référence floue ?

2024· article· fr· W4406781827 on OpenAlexaff
Gilles Col, Marion Fossard, Mélanie Sandoz, Amélie M. Achim, Dominique Knutsen

Bibliographic record

VenueLingvisticae Investigationes · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

Résumé Dans un corpus de dialogues narratifs, nous montrons que l’utilisation de « on » ne vise pas à définir une référence claire et précise, mais plutôt à partager un point de vue et à introduire des entités sur la scène verbale : « on » sert à rendre saillants les entités et les événements narrés tout en effaçant la source narrative, créant ainsi un flou référentiel dynamique et évolutif. Cette observation relativise la catégorisation habituelle de « on » comme « indéfini », et souligne plutôt son rôle essentiel dans la structuration de la narration dans un contexte de dialogue direct. Nos résultats révèlent ainsi la contribution de « on » à la cohérence et la cohésion du discours.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.011
Scholarly communication0.0080.012
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.025
GPT teacher head0.271
Teacher spread0.246 · 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 designTheoretical or conceptual
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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