The Relationship Between School–Leisure Conflict and Educational and Mental Health Indexes:
Bibliographic record
Abstract
Canada The purpose of the present study was to test a motivational model that explains the rela-tionship between school–leisure conflict and indicators of educational functioning and mental health using structural equation modeling with a sample of college students. Results provided support for the proposed model. Experiencing a conflict between educa-tion and leisure contexts was negatively predicted by having a self-determined motivation for school, while self-determined motivation for leisure activities was unrelated to the experience of such a conflict. A school–leisure conflict, in turn, was associated with poorer academic consequences (poor concentration at school, academic hopelessness, few intentions of pursuing in school), which were associated with higher levels of depression and low life satisfaction. Importantly, the proposed theoretical model was supported for both men and women. Results are discussed in terms of self-determination theory (Deci & Ryan, 1985, 1991, 2000) and the hierarchical model of intrinsic and extrinsic motivation (Vallerand, 1997). Julianne is a senior high school student. She is involved with several extra-
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".