Constats sur l’implantation de pratiques évaluatives en lien avec une nouvelle offre de services individuelle et de groupe basée sur la présence attentive sensible au trauma
Bibliographic record
Abstract
Les professionnel·les œuvrant auprès de victimes de traumas complexes développent une connaissance approfondie des besoins des usager·ères de services et expriment un besoin d’être accompagné·es par des équipes de recherche pour développer, implanter, et évaluer leurs interventions. Les partenariats alliant chercheur·es et professionnel·les sur le terrain permettent de codévelopper des pratiques évaluatives rigoureuses et bien arrimées aux besoins et aux réalités du terrain. Cette note présente les réflexions et défis reliés à l’implantation de pratiques évaluatives liées à une offre de service individuelle et de groupe basée sur la présence attentive (PA) et sensible aux traumas.
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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 | 0.056 | 0.214 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".