Bibliographic record
Abstract
This review examines literature on aspects of school culture and students’ physical activity participation. The following questions were addressed: (1) what aspects of school culture have been examined in relation to physical activity, (2) what is the weight of evidence concerning the relationships between school culture factors and physical activity participation, and (3) what are the areas of need in this line of research. Edgar Schein’s organizational culture model offered the framework for analysis in which pertinent articles were categorized into one of three levels of school culture: (1) artifacts, (2) espoused values, and (3) underlying member assumptions. School artifacts associated with physical activity were used more frequently by students and staff when these spaces and equipment were maintained, relevant to the school context and when daily practices allowed access to these artifacts during leisure times. A secondary theme revealed the importance of school-based, adult and student role models; when both were plentiful in schools, students and staff were more active at school on a daily basis. Another key finding indicated that students in Physical Education (PE) classes that reinforced traditional, team games (i.e., basketball, volleyball) were less active than students in PE classes that incorporated culturally relevant, lifestyle, and small-sided games.
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 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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.011 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".