OUTCOMES OF AN ECOLOGICAL AND PARTICIPATORY APPROACH TO PREVENT ALCOHOL AND OTHER DRUG “ABUSE”<sup>*</sup>AMONG MULTIETHNIC ADOLESCENTS<sup>†</sup>
Bibliographic record
Abstract
This study presents outcomes related to adolescents' alcohol use from an evaluation study testing the effectiveness of The Coalition for Youth Quality of Life Project (Le Regroupement pour la qualité de vie des jeunes). This project is an ecological and participatory approach developed to prevent alcohol and other drug use and misuse among multiethnic youth. The intervention was implemented through four channels of program delivery: families, schools, community organizations, and local government. The study involved 411 sixth graders from eight elementary schools and 380 eighth graders from two junior high schools, in two school districts of the Island of Montreal (province of Quebec, Canada). All students were enrolled in regular classes. Follow-up data were collected 18 months and 30 months after pre-test using a school survey. The findings indicated that the program had no significant impact on alcohol use. The program was, however, capable of producing a significant effect on several hypothesized mediating variables. At first follow-up, the sixth graders showed a higher self-esteem, better peer pressure resistance skills, and a more positive relationship with their father than the controls. The eighth graders were also more inclined to get involved in community activities related to substance abuse prevention and to choose more alternatives to "substance abuse" in their leisure time than the controls. The results are discussed by examining attrition effects and also reasons for program failure. Issues are raised about the evaluation of an ecological and participatory approach.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".