Comment mobiliser la communauté grâce au forum communautaire ?
Bibliographic record
Abstract
Dans le contexte actuel, il est important d’utiliser des méthodologies facilitant la consultation des citoyens concernés par une problématique quelconque. À cet effet, il est proposé d’explorer la méthode du forum communautaire. Celle-ci a été utilisée lors d’une étude québécoise portant sur les stratégies de soutien destinées aux familles ayant un enfant handicapé d’âge mineur. Le forum communautaire sera décrit et différents aspects de son organisation seront expliqués. Les avantages et les limites de cette consultation citoyenne seront également discutés. Le forum communautaire s’avère un outil intéressant pour l’intervenant social, car il remplit une triple fonction. Il permet de recueillir des informations de qualité, de sensibiliser les gens à un problème social ou de santé et de réaliser un processus de réflexion autour d’une question précise. La participation de la communauté étant incontournable dans la recherche de solutions à des préoccupations sociétales, le forum communautaire s’avère un outil de choix.
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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 | 0.034 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".