Socialisation et attribution causale : le rôle des études universitaires
Bibliographic record
Abstract
L’étude vise à vérifier si le système éducatif de la Belgique francophone engendre, comme son homologue canadien, des variations d’attribution causale en fonction des filières d’études universitaires. Il s’agit de comparer des étudiants en sociologie à des étudiants en gestion, à différents moments du cursus, sous l’angle de leurs attributions en matière de chômage et de pauvreté. Les résultats, identiques en fin du secondaire, quel que soit le futur domaine d’études, témoignent, à l’université, de différences significatives, qui ne sont toutefois imputables qu’aux variations inhérentes au niveau d’études en sociologie. Chez les étudiants, l’évaluation des influences perçues des pairs, professeurs et matières enseignées montre que ces indicateurs entretiennent très peu de relations avec la différenciation des attributions. Diverses pistes d’investigation complémentaire sont, dès lors, suggérées.
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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 | 0.033 | 0.117 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.000 |
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".