Harm Reduction for the Prevention of Youth Gambling Problems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite the growing popularity of the harm reduction approach in the field of adolescent alcohol and substance abuse, a harm reduction approach to prevention and treatment of youth problem gambling remains largely unexplored. This article poses the question of whether the harm reduction paradigm is a promising approach to the prevention of adolescent problem gambling and other risky behaviors. The authors use a universal, selective, and indicative prevention framework to present current prevention initiatives that have emerged from the harm reduction health paradigm for adolescent substance and alcohol abuse. The risk-protective factor model is used as a conceptual basis for designing youth problem gambling harm reduction prevention programs. This framework illustrates the developmental appropriateness of the harm reduction approach for youth. Implications drawn from this conceptual examination of harm reduction as a prevention approach to adolescent problem gambling provide valuable information for treatment providers as well.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it