Évaluation d’un test de lecture en anglais par deux méthodes de détection du fonctionnement différentiel d’items
Bibliographic record
Abstract
Cette étude vise à examiner la présence de fonctionnement différentiel d’items selon le sexe des répondants dans un test de compréhension en lecture en anglais administré à 171 universitaires francophones. Deux méthodes non paramétriques sont utilisées : le test Mantel-Haenszel et le modèle de régression logistique. Sur un total de 64 items, deux présentent un fonctionnement différentiel selon le test Mantel-Haenszel, alors que cinq items supplémentaires ressortent par la régression logistique. Ce faible nombre d’items suggère une bonne équité du test, mais les différences observées soulignent la nécessité d’analyses additionnelles pour clarifier le statut de ces items.
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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 | 0.015 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".