Use of research in local alcohol policy-making
Bibliographic record
Abstract
Purpose – On-premise trading hours are generally decided at the local level. The purpose of this paper is to identify relevant advocacy coalitions and to assess to what extent and how these coalitions used research in the alcohol policy-making process concerning changes in on-premise trading hours in Norway. Design/methodology/approach – Theory-driven content analyses were conducted, applying data from city council documents (24 Norwegian cities) and Norwegian newspaper articles and broadcast interviews ( n =138) in 2011-2012. Findings – Two advocacy coalitions with conflicting views and values were identified. Both coalitions used research quite extensively – in the public debate and in the formal decision-making process – but in different ways. The restrictive coalition, favouring restricted trading hours and emphasising public health/safety, included the police and temperance movements and embraced research demonstrating the beneficial health/safety effects of restricting trading hours. The liberal coalition of conservative politicians and hospitality industry emphasised individual freedom and industry interests and promoted research demonstrating negative effects on hospitality industry turnover. This coalition also actively discredited the research demonstrating the beneficial health/safety effects of restricting trading hours. Originality/value – Little is known about how local alcohol policy-making processes are informed by research-based knowledge. This study is the first to analyse how advocacy coalitions use research to influence local alcohol policy-making.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".