Developing and sustaining a healthy school community: Essential elements identified by school health champions
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
Background: Comprehensive School Health (CSH) approaches to developing a healthy school community can be effective in supporting chronic disease prevention while positively impacting on student behaviour and academic performance. Although a CSH framework provides principles for action, there is a lack of evidence regarding the processes that best facilitate CSH work, and enable action. Objective: The purpose of this study was to identify and describe the elements of practice-based evidence that contribute to the success and sustainability of healthy school communities, through the identification of positive practices and lessons learned from a sample of projects in Alberta, Canada. Setting: School communities in Alberta, Canada. Design and methods: Key individuals from a list of operating CSH projects were invited for interview. An exploratory, qualitative design examined the perspectives of these ‘school health champions’. A total of 12 one-on-one interviews and one focus group with seven participants were completed, resulting in input from 19 individuals in total. Results: Elements to develop and sustain a healthy school community fall into one of two categories: (1) stakeholder buy-in and (2) adequate resources in the form of human resources, partnerships and peer support. Participants identified successful strategies for establishing buy-in from administrators, teachers, parents and students. Conclusion: To effectively mobilise a comprehensive school health framework, practical strategies for implementation are needed. While some of these strategies are context-specific, practice-based evidence that transcends the local context does exist and can be used more widely to support the development of a healthy school community.
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.
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 | 0.012 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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 it