Towards a relational understanding of teacher autonomy: The role of trust for Canadian and Finnish teachers
Bibliographic record
Abstract
We argue that teacher autonomy should be conceptualised differently from its current form, that confines teacher autonomy to the individual, or to freedom from control. Here, we investigate the role of trust concerning teachers’ perceptions of their own autonomy, embedded in differing contexts and relations. To display contextual variations, we study qualitatively a sample of Canadian and Finnish upper-secondary school mathematics teachers. Our findings reveal that trust plays a decisive role in whether teachers feel autonomous or not, and that trust plays a central role in relationships teachers have at work. Furthermore, trust is articulated differently according to the teachers’ context. Based on our findings, we argue that a reconceptualisation of teacher autonomy is needed. A relational conceptualisation of teacher autonomy, highlights its inherent relationality and contextual sensitivity, provides new insight into the teachers’ work, and supports more empowering ways for teachers to exert a proactive influence on their autonomy.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".