French-Canadian Validation of the Burnout Assessment Tool Among Teachers: Results and Perspectives
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article presents the French-Canadian validation of the Burnout Assessment Tool (BAT) developed by Schaufeli et al. The BAT scale is designed to evaluate both core symptoms (BAT-C) and secondary symptoms (BAT-S) of burnout. Empirical tests were conducted using three distinct samples of teachers from two different Canadian provinces ( n 1 = 488; n 2 = 522; n 3 = 269). The validation process followed the transcultural validation procedure proposed by Lauzier et al. The contributions of these findings support the assertion that the BAT demonstrates satisfactory psychometric properties and provides substantial evidence for its construct validity, fidelity, and criterion validity (concurrent, divergent, and convergent). Additionally, these results underscore the significance of addressing burnout issues among teachers, as highlighted by comparing the study groups with established norms within other occupational populations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it