Perceptions of the Seriousness of Different Addictive Behaviors in the United Kingdom
Bibliographic record
Abstract
Background: Societal beliefs about the seriousness of different addictions were assessed in the United Kingdom (UK). Methods: An online panel, conducted in 2021 and sampled to be representative of the UK general population 18 years and over (N = 1499), was conducted and asked participants their views regarding the seriousness of different societal problems, including various addictive behaviors. Results: Cannabis was ranked as the least serious of the addictive behaviors. Other illicit drug use (cocaine, amphetamine, heroin) was rated as the most serious of addictive behaviors. None of the addictive behaviors were rated as being as serious a problem to society as environmental damage, violent crime, poverty, and the COVID-19 pandemic. Conclusions: Ratings of cannabis use were not as expected and stand in contrast to the current UK policy on cannabis use. In addition, the UK policy on alcohol consumption contrasts with societal concerns about alcohol use.
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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 | 0.000 | 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".