L’archivage efficace des anciens sites de ressources éducatives : une avenue à privilégier
Bibliographic record
Abstract
Je rédige ce billet non pas pour hurler que ça n’a pas de bons sens d’avoir fermé ce site de ressources. Je souhaite plutôt attirer l’attention sur un élément plus important à long terme. En effet, l’élimination du jour au lendemain du site Logicielseducatifs.qc.ca illustre que le Québec n’est pas doté d’une véritable archive pour les ressources éducatives qui sont créées par le MELS. Que ce soit en période d’austérité ou non, les milieux scolaires ne devraient pas faire les frais d’une absence d’archivage efficace des ressources éducatives en ligne qui sont produites grâce à des fonds publics. D’ailleurs, que fait le MELS exactement pour assurer la pérennité de ces ressources et du même coup rentabiliser ces investissements? Je suis d’avis que fermer un site sans préavis et dire aux gens d’aller voir ailleurs ne peut pas et ne doit pas être une stratégie ministérielle.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.088 | 0.010 |
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".