Approches et paradigmes pour la recherche sur les usages éducatifs des technologies: Enjeux et perspectives
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 lignes qui suivent présentent une réflexion commencée à l’EDUsummIT de 2019 à Québec, notamment dans un groupe de travail sur les paradigmes de recherche souhaitables dans le domaine de l’étude des usages éducatifs des technologies de l’information et de la communication. Il déconstruit la notion de passage à l’échelle des innovations et interroge la tension entre différents paradigmes de recherche, critique les points de vue peu problématisés de certains décideurs qui promeuvent un type particulier de recherche se concentrant uniquement sur le passage à l’échelle uniquement en termes de résultats. Finalement, il argumente pour l’intérêt d’approches participatives plurielles associant des collectifs hybrides durables.
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 | 0.004 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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