Solitude Professionnelle d'Enseignants du Secondaire : Relations avec le Leadership du Directeur d'École et Leurs Croyances d'Autoefficacité Sociale
Bibliographic record
Abstract
The goal of this study is to verify a theoretical model of the relationship between the leadership of the school principal and professional loneliness of teachers and the role of social self-efficacy of teachers in this relationship. Four hundred and eighty-seven high school teachers participated to this research. Path analysis of the proposed model provides a good fit to the data. It thus shows the direct relationship between leadership and professional loneliness as the mediating role of social self-efficacy in this relationship. The results are discussed in the light of Bass’ transformational leadership theory, Bandura’s social cognitive theory of self-efficacy, Peplau and Perlman’ s cognitive approach to loneliness, and results of previous studies. Keywords : Leadership, professional loneliness, school principal, social self-efficacy, social self-efficacy beliefs, teacher
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".