Pouvoir de l’enseignant dans les interactions en ligne et approche sociocritique en didactique des langues
Bibliographic record
Abstract
Cet article entend contribuer à la structuration d’une approche sociocritique des usages du numérique en éducation. Il s’intéresse spécifiquement à l’étude des questions de pouvoir au sein de l’interaction éducative. À travers une étude située dans le domaine de l’enseignement-apprentissage des langues, nous montrons qu’en dépit des discours sur le potentiel démocratisant du numérique, son usage peut contribuer à renforcer les positions de pouvoir existantes malgré des efforts déployés par l’enseignant pour les réduire. Des actions didactiques visant une ouverture et une communication plus symétrique et horizontale peuvent ainsi avoir un effet inverse à celui attendu du fait que les étudiants restent fortement influencés dans leur discours par le pouvoir qu’ils reconnaissent à l’enseignant dans le système éducatif.
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.
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 | 0.018 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".