Bibliographic record
Abstract
Ce document est essentiellement «Le Projet ATA en condense». Les renseignements generaux, les suggestions et les ressources reunis ici sont destines a vous fournir les outils necessaires pour comprendre ce qu'est l'atelier ATA (Applications du travail et de l'apprentissage), puis vous permettre de le preparer et le presenter de facon a en faire beneficier votre organisation. Le programme ATA (Applications du travail et de l'apprentissage) est un outil efficace qui peut presenter de grands avantages pour le perfectionnement professionnel des enseignants et la creation de ressources applicables aux programmes scolaires. Le programme ATA permet aux educateurs de mettre a profit les lecons tirees de rencontres avec des employeurs et des employes pour faire ressortir dans leur enseignement l'importance des competences que les employeurs canadiens jugent essentielles. Le programme ne se propose pas toutefois d'examiner a fond les emplois ni, bien entendu, les personnes qui occupent ces emplois. - Tire du doc.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.122 | 0.119 |
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".