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Record W2582905044 · doi:10.3138/cjccj.2016.e01

Medicinal Marijuana Production Creates Problem Residential Properties: A Routine Activity Theory Explanation and a Situational Crime-Prevention Solution

2017· article· en· W2582905044 on OpenAlex
Joseph Clare, Len Garis, Paul Maxim

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsWilfrid Laurier UniversityUniversity of the Fraser Valley
Fundersnot available
KeywordsLegislationProduction (economics)BusinessZoningLegislatureSituational ethicsGovernment (linguistics)Environmental planningConsumption (sociology)Environmental healthEngineeringGeographyCivil engineeringMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

Objectives: Illicit production of marijuana on residential properties creates significant health and safety problems. Health Canada grants licences to individuals to produce medicinal marijuana for personal use, conditional on their compliance with all appropriate regulations. Health Canada does not inspect licensees’ activities to monitor regulatory compliance, and privacy legislation prevents Health Canada from sharing licence holders’ details with third parties. This research examines how effective this administrative structure is at preventing medicinal marijuana from being produced in residential buildings by licence holders. Methods: The indoor production of marijuana requires substantial amounts of electricity. From 2005, addresses in Surrey, British Columbia, with exceptionally high power consumption have been provided to the municipal government for the purposes of undertaking fire safety inspections. This paper examines the outcome of inspections at 1,204 marijuana-production sites (n = 252 medicinal, n = 952 illicit) to see whether the licensing process prevents marijuana production in residential buildings. The illicit-production sites inspected by the city are used as a non-random comparison group for the medicinal sites. Findings: This inspection process has identified an increasing number of medicinal- (relative to illicit-) production sites in recent years. Medicinal-production operations were significantly less likely to be located in residential buildings. However, the medicinal residential sites that were detected were located in equivalent parts of the city to the illicit residential operations. Residential medicinal-production sites presented fewer electrical and biological safety problems relative to illicit-production sites, but all residential medicinal-production sites breached zoning and legislative requirements relating to land use, building safety, and structural integrity. Conclusions: The current administrative structure for licensing medicinal marijuana production does not prevent residential buildings from being used as marijuana-production sites. Routine activity theory is used as a platform to explain how additional situational prevention mechanisms can be used to prevent licensed medicinal marijuana production from creating building-related health and safety problems in the future.

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)0.005
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.119
GPT teacher head0.339
Teacher spread0.221 · 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