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Record W2034054248 · doi:10.4000/asp.1752

Syntactic differences in oral and written scientific discourse: the role of information structure

2001· article· fr· W2034054248 on OpenAlexaff
Shirley Carter‐Thomas, Elizabeth Rowley‐Jolivet

Bibliographic record

VenueASp · 2001
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsCentrale des Syndicats du Québec
Fundersnot available
KeywordsHumanitiesPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Nous examinerons dans cet article certaines différences syntaxiques qui se profilent à partir d’une comparaison entre une série de communications scientifiques orales faites par des chercheurs scientifiques anglophones lors d’un congrès de physique et les articles de recherche correspondant à ces communications, publiés dans les Actes du même congrès. Notre objectif n’est pas seulement de fournir un inventaire de ces différences mais également d’en proposer quelques explications. À notre avis, une analyse des différences syntaxiques relevées dans ces deux genres de discours scientifiques peut bénéficier d’une réflexion sur la notion linguistique de structuration informationnelle. Une telle approche permet en effet de cerner de plus près l’influence du contexte énonciatif sur les formes syntaxiques employées. Nous examinerons en particulier l’utilisation de quatre structures syntaxiques : l’extra-position, les énoncés existentiels, les inversions et les pseudo-clivées

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)0.006
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.991
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0020.007
Scholarly communication0.0090.009
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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.

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

Citations45
Published2001
Admission routes1
Has abstractyes

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