L'impact de la pandémie de COVID-19 sur les finances des ménages
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
La pandémie de COVID-19 a été déclarée en mars 2020 par l’OMS, le chômage atteignant des niveaux historiques en avril 2020. Cette étude brosse un premier portrait de l’impact qu’a engendré la pandémie sur les finances des ménages du Québec, l'une des provinces les plus durement touchées en termes de nombre de cas et de chômage. L'étude permet également de comprendre comment les programmes gouvernementaux de prestations d'urgence ont pu aider les ménages à s’en sortir au début de la pandémie. Enfin, nous nous appuyons sur les données relatives aux attentes des répondants récoltées dans le cadre de l’enquête pour brosser un tableau de ce à quoi les ménages s’attendent pour le reste de 2020.
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.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it