MétaCan
Menu
Back to cohort
Record W4200399253 · doi:10.4000/traduire.2409

Le corps en interprétation. Dimension non verbale des discours interprétés

2021· article· fr· W4200399253 on OpenAlexaff
Monika Chwalczuk, Jean-Michel Benayoun

Bibliographic record

VenueTraduire · 2021
Typearticle
Languagefr
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsHistorical Studies in Education
Fundersnot available
KeywordsPhilosophyPhysicsHumanities

Abstract

fetched live from OpenAlex

À la différence de ce qui se passe en interprétation de conférence, l’interprétation en service public redistribue, par la simple présence physique des intervenants, les relations entre textes-source/textes-cible, entre messages émis/messages reçus, entre chacun des niveaux de la communication eux-mêmes. Ici, l’interprète est présent : on le voit, on l’entend et l’on guette les signaux non verbaux qu’il produit ou reproduit. C’est par l’intermédiaire de son corps, de son visage et de leurs ex...

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0030.017
Scholarly communication0.0090.007
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.002

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 head0.029
GPT teacher head0.345
Teacher spread0.316 · 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 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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueTraduireSame topicHearing Impairment and CommunicationFrench-language works237,207