Instruments d’accountability et équité scolaire dans les systèmes éducatifs d’Europe et du Canada : analyse du PISA 2012
Bibliographic record
Abstract
Cet article interroge l’efficacité des systèmes d’accountability comme instruments de politiques éducatives pour améliorer l’équité des systèmes d’éducation. À partir d’une analyse secondaire des données du PISA 2012, nous mettons en avant différentes composantes instrumentales de l’accountability telles que privilégiées dans les systèmes éducatifs d’Europe et du Canada, peu étudiés par les études quantitatives comparatives internationales. Nous discutons par ailleurs de leurs associations avec les inégalités de résultats, des chances de résultats, et des acquis de base dans les systèmes d’éducation étudiés. Nos résultats nous amènent ainsi à dresser un constat plus que mitigé sur la capacité des systèmes et instruments d’accountability à améliorer l’équité scolaire dans les contextes étudiés.
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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 | 0.030 | 0.097 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.024 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".