Ma Vie et la Pandémie au Québec - MAVIPAN : Rapport méthodologique - Informations générales (Français)
Bibliographic record
Abstract
L'étude MAVIPAN est née d’un effort collectif regroupant les 4 Centres de recherche du CIUSSS de la Capitale-Nationale, soit le Centre interdisciplinaire de recherche en réadaptation et en intégration sociale Cirris, le Centre de recherche universitaire sur les jeunes et les familles CRUJeF, le Centre de recherche CERVO, et le centre de recherche en santé durable VITAM, avec le soutien de la plateforme collaborative de recherche PULSAR de l’Université Laval. Elle se veut une initiative conçue pour soutenir la communauté de recherche et servir d’outil d’information de santé publique. Ce rapport méthodologique "Informations Générales" décrit les principaux éléments méthodologique extraits du protocole de recherche de l'étude Ma vie et la pandémie (MAVIPAN) : Devis et population d'étude, échantillonnage, organisation des collectes de données, certification éthique. De plus amples renseignements sont disponibles dans d'autres documents de la bibliothèque MAVIPAN. En cas d’interrogation ou de doute quant aux informations contenues dans ce document, nous vous suggérons de contacter l’équipe de projet à mavipan.ciussscn@ssss.gouv.qc.ca
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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 | 0.076 | 0.112 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".