Finlande-Québec au temps d’une décennie PISA : regards croisés de deux systèmes éducatifs
Bibliographic record
Abstract
A plusieurs égards, la décennie des années 2000 en éducation fut celle de l’impact du Programme international pour le suivi des acquis des élèves (PISA) sur l’analyse, le bilan et l’évaluation des systèmes éducatifs nationaux des pays de l’Organisation de coopération et de développement économique (OCDE). Pourtant, les résultats aux épreuves PISA n'ont pas toujours eu le même accueil et n’ont pas été conçus dans ce dessein. Ce texte présente et analyse la situation entre la Finlande et le Québec sur le sujet. Il aborde un certain nombre d’exemples qui illustre la problématique et les mythes associés au recours aux résultats du PISA pour valoriser un système éducatif.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".