Cannabis normalization and stigma: Contemporary practices of moral regulation
Bibliographic record
Abstract
Cannabis (marijuana) has undergone a normalizing process as indicated by high use rates, social tolerance, and broader cultural acceptance of its use in many countries. Yet, consistent with its status as a banned drug, users still face the threat of legal sanctions and experiences of stigma that challenge the assumptions of the normalization thesis. In this paper we shed light on extra-legal forms of stigma based on in-depth interviews with marijuana users ( N = 92) randomly recruited in the city of Toronto. Notwithstanding indications of a normalizing process in respondents’ understanding and experience of use, mainstream conventional perspectives about cannabis as risky, even marginal or deviant, were prominent as well. The findings are interpreted with reference to Goffman’s (1963) theoretical distinction between normalization and the more apt description of normification reflected in the attitudes of marijuana users. Consistent with the latter term, these data indicate that stigma is internalized by users which results in the active reinforcement and performance of established cultural requirements emphasizing self-control.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.122 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".