Emotional well-being of school principals: exploring enhancement and risk factors
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
Purpose This study aims to closely examine principals’ emotional well-being (EWB) and its enhancement and risk factors in the context of British Columbia (BC), Canada. Design/methodology/approach This exploratory study is based on an online survey from a previous research that garnered information from public school principals in BC, Canada about the various aspects of their well-being. The survey data were analysed using structural equation modelling. Findings The study results show that resilience, organizational support and policies and external influence can contribute to principals’ EWB, but factors that often put principals in draining situations, such as mental health issues among students and teachers and mentoring of new teachers, are risk factors that negatively impact principals’ EWB. Additionally, long work hours are also having a detrimental effect on principals’ EWB. Practical implications EWB is how well people are able to manage their emotions and cope with life and work adversities and challenges. With increasing, if not competing, demands of public education, it is EWB that can sustain principals to cope with work-related challenges and demands. Cultivating principals’ EWB becomes paramount, and it not only needs to focus on developing individuals’ resilience but also requires organizational and system support. Originality/value School principals’ EWB has been confirmed to be the most significant dimension of their overall well-being. A principal who is emotionally not well may exhibit emotional stress that can be in turn felt by students, teachers, staff and the wilder school community. Promoting EWB among school principals is paramount to creating healthy schools. However, studies on EWB itself are rather limited.
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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 | 0.000 | 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) | 0.003 | 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 it