Les télévoteurs : un instrument au service de la formation à l’enseignement des mathématiques
Bibliographic record
Abstract
Nous dévoilons ici les résultats d’une étude qui a été menée à l’UQAR en 2013, auprès de 44 étudiants au baccalauréat en enseignement primaire. Cette étude avait pour objectif d’explorer la genèse instrumentale des télévoteurs en formation initiale à l’enseignement des mathématiques. Elle dépeint ainsi la perspective du didacticien souhaitant utiliser les télévoteurs pour instrumenter ses pratiques. Pour atteindre cet objectif, nous avons d’abord intégré les télévoteurs dans nos cours de didactique. Nous avons ensuite observé les processus d’instrumentalisation et d’instrumentation, lesquels rendent compte de la genèse instrumentale de cet outil.
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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 | 0.008 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".