Comment se construit le jugement professionnel des superviseurs lors de l’évaluation d’un stage avec l’étudiant ? Un modèle explicatif
Bibliographic record
Abstract
Comment se construit le jugement professionnel des superviseurs lors de l'valuation d'un stage avec l'tudiant ? Un modle explicatif Formation et profession 31(1) 2023 1 sum Cette contribution propose un modle prsentant la construction du jugement professionnel par les superviseurs lors de la covaluation de stage en formation initiale des enseignants en Belgique francophone. L' originalit de ce modle issu d'une recherche doctorale rside, d'une part, dans sa construction progressive partir des avances conceptuelles sur la base d'une recension des crits et des rsultats de trois tudes empiriques qualitatives menes dans le cadre de cette recherche et, d'autre part, dans le processus d'analyse et de validation ralis de faon concerte avec un groupe de recherche collaborative.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".