Impacts de la pandémie sur la pauvreté au Québec
Bibliographic record
Abstract
La journée d’étude « Impacts de la pandémie sur la pauvreté au Québec » vise à alimenter un débat critique sur le thème de la pauvreté en examinant comment elle est pensée, vécue et traitée en contexte de covid-19. Elle entend susciter des discussions autour d’initiatives de recherches et d’actions publiques afin de mieux comprendre les usages sociaux de la pauvreté, comme conditions de vie, objet de connaissance, mobile de revendications et cible de politiques publiques. Il propose de réunir des chercheurs et des acteurs du milieu autour du thème de la pauvreté dans le but d’examiner comment elle est pensée, vécue et traitée en contexte de covid-19 par les individus, les ménages, et les acteurs de l’assistance (les communautés, les États, les organismes humanitaires ou caritatifs).
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.000 |
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".