Community-based prevention of alcohol-related injuries: Possibilities and experiences
Bibliographic record
Abstract
Holmila, M. & Warpenius, K. (2012). Community-based prevention of alcohol-related injuries: Possibilities and experiences. International Journal of Alcohol and Drug Research, 1(1), 27-39. doi: 10.7895/ijadr.v1i1.43 (http://dx.doi.org/10.7895/ijadr.v1i1.43)Aims: This paper discusses the possibilities of community-based prevention of alcohol-related injuries by summarizing the results from the Finnish Local Alcohol Policy (PAKKA).Design: Quasi-experimental controlled pre-/post-intervention design.Setting: The Finnish community-based prevention project PAKKA is described as an example of prevention that combines into one process the three necessary prevention elements: affecting the environment, grassroots enforcement of legislation, and education.Participants: Two intervention areas and two matched control areas.Measurements: Triangulation: purchase trials, school- and population survey and register data.Results: There were reductions in alcohol availability among minors and among intoxicated customers, an increase in abstinence among underaged youth and some changes in attitudes and knowledge on age-limit control.Conclusions: The results of PAKKA show that community-based action has the potential to produce results in all three prevention elements. One of the challenges is how to use community mobilization to target those who are less supportive of community interventions.
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How this classification was reachedexpand
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 | 0.013 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".