Health promoting elementary schools in British Columbia : an analysis of school websites
Bibliographic record
Abstract
The purpose of this study was to explore the Comprehensive School Health approach and its influence on a school's culture of health. In this study, school websites were analyzed for healthy school words, sentences, and placement of content to determine how well three schools in British Columbia are making use of technology for the purpose of sharing attributes of Health Promoting Schools within their school communities. The schools chosen were categorized by the number of years they had been members of the Healthy Schools Network of British Columbia and were located in communities rated “low” and “lowest” vulnerable in the section of Physical Health and Well-Being of the Early Development Instrument. The study was divided into four phases: 1) A pilot study was executed which resulted in a tool for the quantitative analysis; 2) An in-depth qualitative and quantitative content analysis of provincial school websites was conducted classifying healthy school terms into the four pillars of the Comprehensive School Health framework; 3) A thematic analysis of the qualitative data was conducted formulating fifteen themes; and 4) A final analysis was performed which examined the locations or communication trends of healthy schools terms on the websites. Results from the analyses revealed that the health content terms were focused mostly in the Comprehensive School Health categories of Teaching and Learning (26%) and Social and Physical Environment (37%) while 50% of the healthy schools terms were found to be located in school newsletters. This study found that schools did not utilize their websites to support the teaching and learning of the British Columbia Ministry of Education Healthy Living and Physical Education curriculum. Also missing from school websites were Healthy Schools Policy documents and information on teacher wellness. A Comprehensive School Health conceptual framework of attributes of Health Promoting Schools was created from the results.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.009 | 0.017 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".