Evaluating the health promoting schools in Iran: across-sectional study
Bibliographic record
Abstract
Purpose Health-promoting schools have been associated with improvements in the health status of students globally. This study is a secondary analysis study assessing Iranian HPSs. Design/methodology/approach This was a cross-sectional study on routinely collected data using an external audit 63-item checklist, which was utilized to evaluate 440 HPSs between 2014 and 2017. The mean score for each of the checklists' components was calculated. Nonparametric tests were conducted to investigate the association between the presence of a school caregiver, students' educational level and the school's score. Findings While the number of five- and four-star schools increased significantly, one- to three-star schools declined. Providing clinical and counseling services had negative growth. Despite the steady growth of the staff's health, this category still had the lowest score among; on the contrary, physical activity had the highest score in 2017. The presence of a full-time school caregiver and middle schools were both significantly correlated with achieving higher scores ( p < 0.005). Originality/value It seems that in addition to developing school facilities to promote physical activities, measures should be taken to promote access to counseling services, considering health issues of students and staff and finally increasing the number of full-time school caregiver
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 | 0.013 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".