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).
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How this classification was reachedexpand
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.014 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.632 | 0.064 |
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; both teacher heads agree on what is shown here.
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".