Binge Drinking and Educational Participation among Youth in the COMPASS Host Study (Year 5: 2016/2017): School Connectedness and Flourishing as Compensatory Factors
Bibliographic record
Abstract
The current study investigated resilience factors influencing the associations between binge drinking and measures of educational participation among Canadian youth. Self-reported data were collected during the 2016/2017 school year from 5238 students in Grades 9 through 12 (2744 females, 2494 males) attending 14 secondary schools in Ontario and British Columbia as part of the COMPASS study. Logistic regression analyses were conducted to determine relationships between binge drinking, school connectedness and flourishing on measures of educational participation. Binge drinking was associated with increased likelihood of skipping classes, going to class without completing homework, lower Math and English scores, and having educational and/or training expectations and aspirations beyond high school only. Decreased flourishing was linked to increased likelihood of going to class with incomplete homework, lower Math and English scores, and decreased likelihood of aspiring and expecting to achieve education and/or training beyond high school only. Increased school connectedness was associated with decreased likelihood of skipping classes and going to class with incomplete homework, higher Math and English scores, and increased the likelihood of aspiring to and expecting to achieve education and/or training beyond high school only. Lower flourishing was additive in its effect on current binge drinking in negatively impacting class attendance and homework completion and academic performance, while higher school connectedness was compensatory in its effect on these outcomes. This study suggests that, for high school students who are susceptible to binge drinking, those who are more connected to school and have a higher sense of wellbeing can maintain active participation in school and achieve their educational goals.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".