Le projet Baromètre, un outil numérique et collaboratif. Pertinence et utilité dans le champ de la santé mentale
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Resume Depuis plusieurs annees, notre equipe (Universite de Sherbrooke, Quebec) poursuit diverses recherches sur la personnalisation des soins et des services. Cette approche s’appuie sur le triptyque suivant : la valorisation des savoirs d’experience, l’evaluation de la difference produite par les soins et services dans la vie des gens et la coproduction de ces derniers par les professionnels et les usagers. De fil en aiguille, ces recherches ont inspire la conception et le developpement participatif d’une plateforme numerique et collaborative : le projet Barometre. Cet article explicitera la demarche de conception et de validation scientifique realisee a ce jour. Il presentera egalement l’utilite et la pertinence de cet outil : resultats de recherche circonscrits a partir de 72 histoires d’utilisation.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it