Living with the pandemic in Quebec – MAVIPAN : Methodological report - General Information (English)
Bibliographic record
Abstract
The Living with the pandemic (MAVIPAN - Ma vie avec la pandémie) study was launched as a collective effort brought together by the 4 research centers of the CIUSSS de la Capitale-Nationale, namely CIRRIS Center for Interdisciplinary Research in Rehabilitation and Social Integration, CRUJeF University Research Center for Youth and Families, CERVO research center, and VITAM Centre de recherche en santé durable, with the support of Université Laval’s PULSAR collaborative research platform. It is intended to be an initiative designed to support the research community and serve as a public health information tool. This methodological report "General Information" describes the principal methodological elements extracted from the research protocol of the My Life and the Pandemic (MAVIPAN) study: Study design and population, sampling, organization of data collection, ethical certification. More information is available in other documents in the MAVIPAN library. If you have any questions or concerns regarding the information in this document, we suggest you contact the study’s team at mavipan.ciussscn@ssss.gouv.qc.ca
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 | 0.023 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".