Les méthodologies préconisées dans les articles publiés dans la Revue des sciences de l’éducation au cours des 50 premières années de parution (1975-2024)
Bibliographic record
Abstract
Le cinquantième anniversaire de la Revue des sciences de l’éducation (RSE) offre l’occasion de faire un bilan des pratiques méthodologiques en vigueur dans les articles qui y sont publiés. Après avoir décrit les grandes traditions méthodologiques et la posture de réflexivité telle que définie par Bourdieu, l’article présente l’analyse descriptive de 1127 articles publiés entre 1975 et 2024. Ainsi, la domination du quantitatif observée dans les premières décennies d’existence de la RSE se transforme à partir des années 2000, mais on observe une affirmation du qualitatif qui devient la méthodologie la plus employée à partir de 2010 dans la Revue .
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 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 | 0.048 | 0.102 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.040 | 0.047 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
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".