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Record W2185750416

Bylaws and Brothels: An analysis of Toronto's adult entertainment governance strategy

2013· article· en· W2185750416 on OpenAlexaboutno aff
Nicholas C. Danford

Bibliographic record

VenueQSpace (Queen's University Library) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate governanceEntertainmentBusinessPublic administrationPolitical scienceMedia studiesPublic relationsAdvertisingSociologyLawFinance
DOInot available

Abstract

fetched live from OpenAlex

Planning for the adult entertainment and sex industry is incredibly controversial. Issues of morality, safety, and health all play major roles on where adult entertainment and sex establishments should be located in cities. Given the municipal government’s role in land-use planning it holds strategic position to influence where legal bawdy-houses (brothels) are located. Municipalities have taken a variety of approaches to regulating the location of adult entertainment establishments. As more jurisdictions legalize brothels, municipalities will need to ensure that these establishments are located in the optimal location to ensure safety and security for the workers, their patrons, and the general public. The report has taken an investigative nature and has identified areas for Toronto to develop and improve policies and governance tools related to regulating the sex industry, more specifically inclusion of brothels as a type of sex establishment. The recommendations of this report are geared to municipal decision makers and aim to begin the discussion and set out a strategic direction on this important and pressing planning topic. It is also important, however, that the political climate is considered prior to implementation of any of the recommendations outlined in this report. It is imperative for the safety of the community, sex workers, and their clients that municipalities begin this policy discussion now. It is clear that, although not at the forefront of municipal policy-makers, this topic is of interest.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.995

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 studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.206
Teacher spread0.197 · 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 designNot applicable
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

Citations1
Published2013
Admission routes1
Has abstractyes

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