La description d’images fixes et en mouvement par deux groupes linguistiques, anglophone et francophone, au Québec
Bibliographic record
Abstract
Le présent article rapporte les résultats d’un projet de recherche entrepris dans le cadre d’une série d’études portant sur l’indexation d’images fixes ou en mouvement. L’objectif était de déterminer le niveau d’équivalence dans le choix d’expressions verbales pour représenter le contenu d’une image entre les termes d’indexation choisis par des francophones et ceux choisis par des anglophones. En comparant les résultats obtenus, nous constaterons un réel degré de similitude dans la façon de décrire les images chez les deux groupes linguistiques. De plus, ces résultats viennent appuyer l’hypothèse voulant que l’indexation d’images en français pourrait être obtenue à partir d’une indexation existante en anglais, et vice versa.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".