Portrait comparatif d’enseignants québécois et tessinois de leur sentiment d’efficacité personnelle à gérer la classe
Bibliographic record
Abstract
Le sentiment d’efficacité personnelle (SEP) des enseignants est reconnu pour grandement influencer la qualité de l’enseignement offert aux élèves, notamment dans un contexte d’éducation inclusive et d’élèves présentant des difficultés comportementales. Le but de cette étude est d’examiner et de comparer le SEP en gestion de classe des enseignants du Québec ( n = 1 179) et du Tessin ( n = 242) qui œuvrent au préscolaire et au primaire, à partir de variables sociodémographiques. Des relations ont été observées en ce qui concerne l’expérience des enseignants et leur SEP à gérer la classe. Les résultats révèlent des différences significatives selon le pays d’origine, le genre et l’ordre d’enseignement des participants.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".