Questionnaire d’aiguillage pour dépister les besoins de formation quant à l’offre active de services en français
Bibliographic record
Abstract
Des recherches antérieures montrent que certaines caractéristiques personnelles influencent la fréquence des comportements d’offre active des professionnelles et professionnels de la santé et du travail social. Un nouveau questionnaire d’aiguillage rempli par des étudiantes et étudiants de ces domaines aux niveaux collégial et universitaire a permis de déterminer leurs caractéristiques (profil sociolangagier) et de cibler des besoins en formation à l’offre active. Des formations en ligne, repérées parmi les formations déjà sur le Web, leur ont ensuite été proposées, en fonction de leur profil. Nos données montrent qu’il est possible de dresser des profils sociolangagiers utiles pour identifier des besoins de formation d’une manière acceptable pour les répondantes et répondants. Le type de formation qui répondra le mieux aux besoins de chaque profil reste à évaluer 1 .
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 | 0.013 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".