Flourishing among Canada’s outstanding principal award recipients: the critical role of resilience
Bibliographic record
Abstract
School leaders in Canada face increasing social, political, economic, educational, and professional demands, which often lead to increased workload, stress, burnout, decreased well-being, and lack of work-life balance. Research demonstrates that school principals with high levels of resilience are better at coping with stress and crisis, are generally more effective as leaders, are more connected to schools and districts, and have lower levels of compassion fatigue. Examining the challenges that school principals face can both prevent conditions that decrease their well-being and help understand coping strategies and resilience-building approaches necessary for successful school leadership. Drawing from the study of flourishing among the national award-winning principals in the Canada’s Outstanding Principals (COP) program, in this article we describe the participants’ perceptions regarding their resilience as school leaders, the conditions that discouraged school principals in their role, and the approaches that allowed them to develop their personal resilience. The article offers recommendations on how school administrators can overcome the challenges and flourish by fostering resilience and growing a resilient mind-set.
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 | 0.001 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".