Les réformes curriculaires à l’épreuve de la réalité: du pilotage à la gouvernance
Bibliographic record
Abstract
Au-delà de la question de leur pertinence, les réformes curriculaires présentent l’inexorable défi de leur mise en œuvre, défi qui se mesure à l’aune de leur envergure. Le sujet est ici examiné à partir d’une étude de cas, celle de l’implantation d’une vaste et profonde réforme des programmes scolaires du primaire et du secondaire entreprise au Québec au début du nouveau millénaire. Il est analysé sous l’angle de la nature et de l’ampleur des actions de pilotage que nécessite une telle opération. Onze constats et extrapolations en découlent qui constituent autant de leçons dégagées de cette expérience. Ils réfèrent aux acteurs du milieu scolaire, aux mesures particulières à mettre en place et à l’exercice de pilotage proprement dit. Leur présentation est enrichie de références à diverses études connexes.
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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 | 0.010 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".