Confiance, vaccination et télétravail pendant la crise de la Covid-19
Bibliographic record
Abstract
À partir d’une enquête originale menée fin novembre 2020, nous identifions les déterminants socio-démographiques et comportementaux d’adhésion aux mesures contre la Covid-19. Notre analyse porte sur l’acceptation du télétravail, les intentions de vaccination et la confiance dans la gestion de la crise par les autorités. Le goût pour les actions collectives est fortement et significativement associé à l’intention d’accepter la vaccination et à la confiance en les autorités. L’aversion pour le risque n’a jamais de rôle significatif et la préférence pour le présent seulement sur la confiance. Des facteurs exposant à un impact plus fort de la maladie (âge, sexe, présence d’autres facteurs de risque pour une Covid-19 grave, proche en Ehpad) permettent également d’expliquer les réponses des enquêtés.
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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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".