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Record W3124147477 · doi:10.29173/alr224

After <i>Labaye</i>: The Harm Test of Obscenity, the New Judicial Vacuum, and the Relevance of Familiar Voices

2009· article· en· W3124147477 on OpenAlexaffvenueabout
Richard Jochelson

Bibliographic record

VenueAlberta Law Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsSupreme courtTest (biology)LawHarmEconomic JusticeLegislatureSociologyRelevance (law)LesbianPolitical scienceGender studies

Abstract

fetched live from OpenAlex

In R. v. Labaye, the Supreme Court of Canada finally retired the community standards of tolerance test of obscenity. The test had been the subject of much academic critique, a matter that reached its zenith in the period following Little Sisters Book and Art Emporium v. Canada (Minister of Justice), in which a gay and lesbian bookshop contested the procedures and legislative regime of customs officials in detaining its imports. The engagement in the literature on the efficacy of the community standards test that followed was often heated, always interesting, and ultimately unresolved. To date, we have not seen any clarifying applications of the newly proposed harm test by the Supreme Court, nor have we seen a profound articulation in any lower courts. Subsequently, the academic discussion has slowed to a crawl. In this article, the author reviews four accounts of the community standards test that were prominent following Little Sisters, and asks if the newly proposed Labaye standard meets their concerns. The Labaye case provides much fodder for the previous critics and supporters of a community standards of tolerance approach to analyze. After a critical analysis of the new Labaye test, the author concludes that the concerns have not been muted by the retirement of the community standards test, even if the voices have been. The engaged voices heard in the aftermath of Little Sisters should not hold back and they should not abandon the work to be done in obscenity law and freedom of expression discourse generally.

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)0.001
metaresearch head score (Gemma)0.001
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: Review · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.274
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2009
Admission routes3
Has abstractyes

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