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Revisiting Deterrence: Legal Knowledge, Use Context and Arrest Perception for Cannabis

2013· article· en· W2153988895 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCzech Sociological Review · 2013
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of GuelphUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsCannabisDeterrence (psychology)Situational ethicsContext (archaeology)CriminologyDeterrence theoryPossession (linguistics)Risk perceptionPsychologyPerceptionSocial psychologyPolitical scienceLawGeography

Abstract

fetched live from OpenAlex

Deterrence research has evolved considerably since the 1970s when a favourite offence for study was the emerging phenomenon of widespread cannabis use among mainstream populations. The deterrent model of crime prevention has expanded far beyond the study of objective and subjective indicators of certainty and severity to encompass social support, moral evaluations, peer involvement and, most recently, risk sensitivity and situational factors. Most earlier research found no evidence of deterrence of cannabis use, a fi nding attributed to its low actual and perceived risk of arrest and changes in public attitudes. This interview study with adult experienced cannabis users drawn from a representative survey base in Toronto, Canada, where possession is still treated as a criminal offence, provides a more nuanced interpretation of deterrence. The authors found that users had generally inaccurate knowledge about the current law and penalties and believed they would avoid arrest in the future. However, they were not oblivious to the possibility of police intervention, and took precautions such as carrying small amounts and avoiding public use. Thus, users were not unaffected by the law, but rather these discreet practices illustrate the operation of restrictive deterrence, shaping their choices of when, where and how to commit the crime of cannabis use. Further research on deterrence should examine situated choices by risk-sensitive offenders, and should also include cross-national patterns of arrest and user risk perceptions. While cannabis continues to be prohibited by international treaties, the reality of widespread use presents opportunities for innovative deterrence studies into this normalised yet illegal crime. The variation in policies, penalty structures and enforcement across European nations, compared to those in other Western jurisdictions, can foster relevant research for a transatlantic discussion about global drug policy transformation.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.069
GPT teacher head0.383
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it