Drug Legalization, Democracy and Public Health: Canadian Stakeholders’ Opinions and Values with Respect to the Legalization of Cannabis
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
Abstract The legalization of cannabis in Canada instantiates principles of harm-reduction and safe supply. However, in-depth understanding of values at stake and attitudes toward legalization were not part of extensive democratic deliberation. Through a qualitative exploratory study, we undertook 48 semi-structured interviews with three Canadian stakeholder groups to explore opinions and values with respect to the legalization of cannabis: (1) members of the general public, (2) people with lived experience of addiction and (3) clinicians with experience treating patients with addiction. Across all groups, participants tended to be in favor of legalization, but particular opinions rested on their viewpoint as stakeholders. Clinicians considered the way legalization would affect an individual’s health and its potential for increasing rates of addiction on a larger scale. People with lived experience of addiction cited personal autonomy more than other groups and stressed the need to have access to quality information to make truly informed decisions. Alternatively, members of the public considered legalization positive or negative in light of whether one’s addiction affected others. We elaborate on and discuss how scientific evidence about drug use impact values relates and how can different arguments play in democratic debates about legalization.
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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