Élaboration de corpus pour l’enseignement de la grammaire : le corpus du jeu PP L’archer de Alloprof
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Les corpus en didactique de la grammaire sont peu étudiés, alors qu’ils apparaissent centraux pour soutenir l’enseignement et, surtout, l’apprentissage de notions grammaticales. Après avoir clarifié leur rôle dans l’enseignement et dégagé les caractéristiques d’un corpus bien construit, nous analysons le corpus du populaire jeu numérique PP L’archer de la plateforme Alloprof. Nous constatons qu’il comporte un nombre limité de phrases et qu’elles manquent de diversité dans leur construction. Nous discutons de la pertinence de nos constats pour l’amélioration de la version du jeu en ligne et, plus largement, pour l’amélioration des corpus grammaticaux présentés aux élèves.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it