Improvements in the school environment—results of a Swedish school project 2005–2011
Bibliographic record
Abstract
To examine whether a public health project to reduce problem behavior in schools and improve the classroom climate, undertaken among eight secondary schools in a municipality in Sweden, was accompanied by favorable changes in the school environment over time. Data were collected from ninth grade students (aged 15-16 years) at three different time points: the year before the project began (2005), during the project (2008) and when the project finished (2011). Changes in the school environment, measured as damage, littering, noise and classroom disorder, were compared between the project municipality and a comparison group of other municipalities in the same county, using multinomial logistic regression analysis. Descriptive comparisons were made between the schools within the project municipality. The school environment improved significantly from 2005 to 2011 in the project municipality compared with the other municipalities. The school environment was improved in all schools within the project municipality. The biggest improvements took place in two schools which systematically worked with one program incorporated into the school schedule. This study demonstrates that it may be possible to improve the school environment by implementing health programs. Further studies based on experimental designs are required in order to confirm the potential and efficiency of school health programs.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".