Le mémoire des CPE en master MEEF : un dispositif révélateur des ambitions et des limites de la mise en oeuvre des réformes de la formation des professionnels de l’éducation (1990-2018)
Bibliographic record
Abstract
Le mmoire des CPE en master MEEF : un dispositif rvlateur des ambitions et des limites de la mise en oeuvre des rformes de la formation des professionnels de l'ducation (1990-2018) Formation et profession 28(2), 2020 1 sum Cet article rend compte d'une tude de cas portant sur le mmoire que les CPE doivent soutenir lors de leur seconde anne de master MEEF. Ce mmoire est emblmatique de l'ambition des rformes qui se sont succd de 1990 2013, qui se donnaient pour but d' universitariser et de professionnaliser la formation de ces professionnels de l' ducation.
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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 | 0.014 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| 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".