Bibliographic record
Abstract
While well-being of school principals is becoming an increasing concern in public education, the understanding of well-being and its manifestation is still lacking in research. This research tackles the nuances and complexities surrounding the notion of well-being and sheds light on its conceptualisation, manifestation, and contributing factors. Data for this research come from an online survey among public school principals in the province of British Columbia, Canada. This survey research utilised reliability, factor, correlation analysis, and structural equation modelling (SEM) and examined how well-being of school principals is manifested along different well-being dimensions and what underlying relationships exist between each dimension in relation to principals’ overall well-being and their demographics. The results reaffirm that well-being is a multidimensional construct, encompassing dimensions that speak to different but interrelated aspects of a principal’s well-being state, among which emotional and psychological well-being has been revealed as a vital component in principals’ overall well-being. The findings have significant implications on health and well-being related support for school principals in order to prepare them for the increasingly demanding job.
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".