Embedding Health and Well-Being in Value Statements of Canada’s Post-Secondary Institutions: A Mixed Methods Study
Bibliographic record
Abstract
Many post-secondary institutions contain organizational values, which describe enduring beliefs that support strategic priorities and guide members of an organization. Relatedly, the adoption of health-promoting frameworks calls on embedding health within post-secondary institutions’ core values. The study objective was to map Canada’s post-secondary values to determine how health is integrated within value statements. Mixed methods were used to map institutional values, contextualize well-being, and identify thematic messages of health-related content contained within values. Most institutions espoused values (n = 64, 71%), yet only a small proportion of these institutions espoused health within their value statements (n = 7, 11%). Qualitative analysis revealed three thematic messages: (i) health as a descriptor for other institutional priorities, (ii) wellness broadly acknowledged or embedded within non-health values, and (iii) well-being as a core value or commitment. These novel findings suggest more institutions must embed health as a core value to demonstrate institutional commitment.
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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 | 0.018 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.003 |
| 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".