Incidence de la COVID-19 sur la gestion et le leadership des équipes de direction d’établissements scolaires en milieux francophones minoritaires dans l’Ouest canadien
Bibliographic record
Abstract
Cet article porte sur les résultats d’une recherche auprès d’équipes de direction d’établissements scolaires en milieux francophones minoritaires (MFM) de l’Ouest canadien. C’est à partir du point de vue de ces praticiens (n=63) qu’il est possible de dresser un tableau comparatif de l’impact de la COVID-19 sur leurs pratiques de gestion et de leadership. Le questionnaire portait, entre autres, sur les éléments de gestion. Un consensus fort émerge autour des fonctions de gestion et de leadership liées à la nécessité de préserver le bien-être du personnel, d’assurer une communication régulière, d’encourager et de motiver le personnel enseignant et de réviser les horaires. Certaines caractéristiques, telles que les postes occupés, le genre, l’emplacement et la taille des écoles influent sur certains résultats. Les relations entre certains acteurs sont touchées. Le soutien reçu des membres du personnel, des collègues de travail, de la famille et des amis proches compense largement les lacunes d’ailleurs.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".