An Alcohol Abuse Early Intervention Approach with Mi’kmaq Adolescents
Bibliographic record
Abstract
This paper describes the development of and pilot results for an alcohol abuse early intervention program targeting at-risk Mi’kmaq youth conducted in partnership with the communities in which these youth live and the schools which they attend. This intervention was based on a previously-established, successful psychoeducational and cognitive-behavioral approach for at-risk adolescent drinkers from the majority culture that focuses on differentpersonality pathways to alcohol abuse in youth (Conrod, Stewart, Comeau, & MacLean, 2006). Through partnership and collaboration with two Mi’kmaq communities, the original intervention was adapted to be culturally appropriate for Mi’kmaq youth. The culturally-adapted intervention included traditional Mi’kmaq knowledge and teachings in order to make the program as meaningful and relevant as possible in the partner communities (Comeau et al., 2005). The pilot results were encouraging. Compared to pre-intervention, students who participated in the intervention drank less, engaged in less binge-drinking episodes (i.e., 5 drinks or more/occasion), had fewer alcoholrelated problems, and were more likely to abstain from alcohol use. Moreover, students who participated in the intervention also reduced their marijuana use at four-month post-intervention, even though the intervention was specifically designed to target alcohol misuse. No such significant changes were observed in a non-random control group of eligible students who did not participate in the intervention. Future research should determine if this intervention is effective for at-risk youth in other First Nations communities across Canada, and whether the promising, but preliminary results with marijuana mean that the benefits of the intervention might extend to adolescents’ use of substances other than alcohol.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".