A Culturally Adapted Drug and Alcohol Abuse Prevention Program for Aboriginal Children and Youth
Bibliographic record
Abstract
BACKGROUND: In response to substance abuse within their community, the Alexis Nakota Sioux Nation invited the University of Alberta (UofA) to partner in a collaborative effort to establish a school-based substance abuse prevention program. OBJECTIVES: An evidence-based substance abuse prevention program was reviewed and adapted by the community to ensure that it incorporated their cultural beliefs, values, language, and visual images. The adapted program was delivered to students at Alexis Nakota Sioux Nation School and changes in student participants' knowledge, attitudes, refusal skills, and self-beliefs were measured. Benefits and challenges of adapting the program were documented. METHODS: The principles of community-based participatory research (CBPR) and the Canadian Institute for Health Research, Guidelines for Research Involving Aboriginal People, provided a frame of reference for the work throughout the research process. A pre-/posttest questionnaire was used to measure changes in student participants' drug and alcohol refusal skills, self-beliefs, and knowledge of the negative effects of drug and alcohol use. Focus groups (FGs) documented community members' experiences of and responses to the program adaptations and delivery. RESULTS: Results included (1) positive changes in students' drug and alcohol refusal skills, self-beliefs, and knowledge of the negative effects of drug and alcohol use, (2) ownership of and investment in the program by the community, (3) teaching approaches that correspond with the learning contexts, worldview, and relationships of the community, and (4) participation of community Elders. CONCLUSION: Quantitative and qualitative measures provide evidence for the importance, benefits, and challenges of employing a culturally adapted evidence-based substance abuse prevention program with Aboriginal students attending a First Nations school.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".