Concilier emploi et famille en temps de pandémie : les résultats d’une recherche au Québec
Bibliographic record
Abstract
Au Québec, le contexte de pandémie de Covid-19 s’est traduit par des transformations radicales de l’organisation du travail. On est passé d’un taux d’environ 15 % d’organisations proposant le télétravail à 40 % en mai 2020. Comment les parents ont-ils vécu leur situation de conciliation travail-famille dans cette province où promor ? Comment les employeurs se sont-ils comportés face à leurs salariés en situation de télétravail ? Est-ce que le soutien organisationnel offert, en termes de réduction des attentes et du niveau de compréhension de l’employeur, est différent selon le genre, le type d’organisation et la catégorie d’emploi ? Afin de répondre à ces questions, nous analysons les données d’une enquête effectuée en mai 2020 auprès de 2 293 travailleurs québécois qui ont des enfants.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".