Application of the acquired preparedness model for alcohol and cigarette use among reserve-dwelling first nation adolescents.
Bibliographic record
Abstract
OBJECTIVE: North American Indigenous youth experience disproportionate harm associated with alcohol and cigarette use compared to other racial/ethnic groups. The Acquired Preparedness Model (APM), developed and tested in primarily White samples, hypothesizes that urgency contributes to risk for substance use by influencing the degree to which adolescents attend to positive aspects of substance use, leading to the development of more positive expectations about the consequences of substance use, and increasing subsequent substance use. The purpose of the present study was to provide an initial test of whether the APM generalizes to understanding alcohol and cigarette use among high-risk First Nation adolescents. METHOD: = 14.6, 50.0% female) recruited from reserve communities in Eastern Canada completed self-report measures as part of a larger community-based participatory research project. Procedures were approved by tribal chief, council, and university IRB. RESULTS: = .11, CFI = 0.98, RMSEA = 0.12, SRMR = 0.03. The indirect effects of urgency on alcohol consumption and cigarette smoking through alcohol and cigarette expectancies were each significant. CONCLUSIONS: Findings of the present study provide initial support for the generalizability of the APM in understanding risk for alcohol and cigarette use among reserve-dwelling First Nation youth. The next important step is to replicate this finding in a prospective sample. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".