Bibliographic record
Abstract
Résumé Dans le contexte actuel, il faut posséder des compétences en intervention et en recherche, afin de pouvoir évaluer et ajuster sa pratique en réponse aux besoins sociaux en constante évolution. Cela exige une formation initiale et continue qui intègre la recherche à l’intervention. Certains obstacles rendent difficile une telle intégration, mais la recherche en collaboration permet de les atténuer. Nous présentons cette approche à l’aide d’un projet portant sur le vécu des mères d’enfants ayant un handicap invisible. Celui-ci a favorisé des apprentissages mutuels qui ne peuvent se réaliser sans certaines conditions de formation, de recherche et de pratique. Nous faisons ressortir ces dernières, tout en identifiant les enjeux qui les rendent de plus en plus difficiles à assurer.
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 | 0.101 | 0.110 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.014 | 0.045 |
| Scholarly communication | 0.033 | 0.020 |
| Open science | 0.003 | 0.026 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".