School Disconnectedness: Identifying Adolescents at Risk in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: There is strong theoretical and empirical support for school connectedness as an important element of healthy youth development. The primary objective of this study was to replicate previous research identifying factors differentiating youth who do not feel connected to their schools in a sample of adolescents in Ontario, Canada. A secondary objective was to extend this work by assessing whether physical activity was an additional health behavior that differentiated youth who feel connected to their schools from those who do not. METHODS: Data for this study were based on questionnaires from 2243 grade 7 to grade 12 students derived from the 2001 cycle of the Ontario Student Drug Use Survey. Logistic regression analysis was used to examine associations between physical activity, other health risk factors, and school disconnectedness. RESULTS: The odds of feeling disconnected from their schools were substantially greater for female students who perceived their health or academic performance to be poor, engaged in no vigorous physical activity, reported 3 or more physician visits during the past year, and had low extracurricular involvement. None of the sociodemographic factors or substance use measures was significantly associated with school disconnectedness for any students. CONCLUSIONS: Our results highlight sex differences in how school disconnectedness is related to health-compromising behaviors such as physical inactivity. Further research is required to examine how boys and girls perceive, interpret, and internalize the school climate. Increasing school connectedness should be a consideration for academic administrators and health-promotion advocates.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".