Utilisation des boîtiers de vote et développement professionnel
Bibliographic record
Abstract
L’objectif de cette recherche est d’étudier en contexte les effets de l’utilisation accompagnée des boîtiers de vote électronique sur le développement professionnel des enseignants. Inscrite dans une épistémologie pragmatiste, réflexive et qualitative, l’expérience a concerné neuf enseignants novices ayant accepté de s’inscrire dans un protocole d’accompagnement pendant un semestre. Les données de l’enquête permettent de proposer une typologie des usages différenciés des boîtiers de vote selon la conception de l’enseignement et mettent en évidence l’évolution de ces usages au fil de l’expérience vers une intégration technopédagogique accrue. Cependant, les dimensions sociotechniques du contexte de l’enseignement peuvent favoriser ou inhiber ce développement
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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 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".