PERFORMA : une réalité à la mesure de l'utopie?
Bibliographic record
Abstract
Conseillers pédagogiques Cégep de Sherbrooke C'est l'année des chiffres ronds : vingt ans des cégeps, quinze ans de PERFORMA.Les chiffres ronds provoquent presque inévitablement l'opération-bilan.Conseillers pédagogiques dans un collège depuis des lustres, nous avons vécu toutes les étapes d'un de ces chiffres fatidiques.Est-ce la nostalgie ou la prétention qui nous empêche de résister à l'exhibition de notre vision des événements ?Peu nous en chaut, il semble bien que vous aurez droit à notre version.Pour bon nombre de personnes de la majorité des collèges du Québec, PERFORMA, c'est le CPEC, le perfectionnement en pédagogie des enseignants.Pour nous, c'est (ou serait-ce : « ce fut ») un projet audacieux, d'une originalité sans précédent dans nos institutions scolaires et… d'une envergure qu'il n'a jamais atteinte.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.012 |
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".