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Record W2593509048

Laws of Desire: The Political Morality of Public Sex

2009· article· en· W2593509048 on OpenAlexaffabout
Elaine Craig

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsPierre Elliott Trudeau Foundation
Fundersnot available
KeywordsMoresMoralitySupreme courtLawJurisprudenceHuman sexualityConstitutionSociologyPolitical sciencePolitics
DOInot available

Abstract

fetched live from OpenAlex

In deciding cases that involve the intersection of criminal law and sexual mores, the courts are faced with the challenge of determining the appropriate moral framework from which to approach simultaneously private and social concerns. In indecency cases, Canadian courts historically employed a communitarian model of sexual morality based on the community’s standard of tolerance. However, the Supreme Court of Canada’s recent jurisprudence affirms a harm-based test, which relies upon and protects the fundamental values enshrined in the Canadian constitution. This article analyzes the Court’s decisions in R. v. Labaye and R. v. Kouri and demonstrates that these cases represent a shift in the relationship between law and sexuality. Drawing upon the work of both Joseph Raz and Ronald Dworkin, the author illuminates the possibility of a new approach by the Court to the regulation of sex. Such an approach allows for the legal recognition of pleasure behind, beyond, or outside of legal claims regarding identity, antisubordination, relationship equality, and conventional privacy rights. A new theoretical approach to the legal regulation of sexuality recognizes the importance and benefit of challenging mainstream beliefs about sexuaity and subverting certain dominant sexual norms. Such an approach is firmly grounded in the principles of liberalism that Labaye reflects.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.086
Scholarly communication0.0130.008
Open science0.0010.005
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.337
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2009
Admission routes2
Has abstractyes

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Same venueSSRN Electronic JournalSame topicMulticultural Socio-Legal StudiesFrench-language works237,207