Teacher Trust in Colleagues and Basic Psychological Needs: A Two-Wave Cross-Lagged Study
Bibliographic record
Abstract
Considering the importance of social climate for teacher motivation, this study, grounded in self-determination theory, examines the longitudinal links between teacher trust in colleagues and the satisfaction and frustration of their basic psychological needs: relatedness, competence, and autonomy. The study was conducted among 666 Canadian vocational teachers. Results of the structural equation modelling analyses reveal that: trust in colleagues at T1 positively predicts the satisfaction of the three basic psychological needs (relatedness, competence, and autonomy) at T2; and trust in colleagues at T1 negatively predicts the frustration of the three needs (relatedness, competence, and autonomy) at T2. The results of this study contribute to a better understanding of the key role of trust in colleagues in teacher motivation, from a longitudinal perspective. In fact, when vocational teachers perceive the presence of relational trust in their colleagues, their motivational resources are more enhanced, which ultimately contributes to quality work motivation. In light of these findings, principals would do well to look at ways of cultivating teacher trust in colleagues when they want to motivate their teaching staff.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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 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".