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Record W7058629275

Not on My Main Street: Zoning Marijuana Prohibition and the municipal theatre of the War on Drugs

2017· article· en· W7058629275 on OpenAlexfundno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2017
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
FundersKwantlen Polytechnic University
KeywordsZoningPunitive damagesSanctionsLegalizationSpanish Civil WarRevocationControl (management)Government (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

This thesis examined the development and application of urban bylaws, in this case the City of Delta’s, which regulate properties commonly hosting growing operations or laboratories producing and handling federally-listed controlled substances such as marijuana. The project was largely exploratory and involved qualitative examination public documents such as council meetings, reports, memos and correspondence regarding Delta’s Zoning Bylaw and Controlled Substance Property Bylaw—which control how land and property are used in the municipality and impose punitive sanctions on owners and renters who infract on these regulations. Prohibitionist bylaws such as these can have disruptive consequences on the national legalization of marijuana due to these bylaws de facto continuing prohibition on the local level. The project uncovered justifications behind the ordinance—both formal and informal—and found a legal ecosystem of related municipal ordinances interacting with the (specifically those involved with medical marijuana dispensaries and production facilities), potential overlaps between bylaws as a result of higher-level changes in law as well as legal and economic consequences—such as creating favourable conditions for large agribusiness. Keywords:

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.169
Teacher spread0.166 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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