Quitter la profession enseignante ? L’évolution des conditions d’exercice du travail du personnel enseignant québécois dans le contexte de la COVID-19
Bibliographic record
Abstract
La pandémie de la COVID-19 a bouleversé le monde scolaire et les conditions d’exercice de la profession enseignante. Afin de dresser le portrait des conditions de travail des personnes enseignantes au Québec et d’évaluer leur questionnement concernant leur avenir dans leur emploi, un sondage auprès de 1683 personnes œuvrant à divers ordres d’enseignement a été conduit en juin 2020, au cœur de la première vague de COVID-19. Les résultats révèlent un portrait des conditions telles que perçues par les personnes enseignantes et soulignent, du même coup, des lacunes dans la gestion de la crise, dans l’information transmise et dans la formation offerte qui ont exacerbé certaines fragilités chez le personnel enseignant.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".