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Record W2897197407

Obscenity and Nationalism: Constitutional Freedom of Sexual Expression in Comparative Perspective

2018· article· en· W2897197407 on OpenAlexaboutno aff
Bret Boyce

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismLawMoralityJurisprudencePolitical scienceOffensiveSociology
DOInot available

Abstract

fetched live from OpenAlex

This Article surveys the development of constitutional obscenity jurisprudence in the United States, Canada, India and Japan. In the late nineteenth and early twentieth centuries, each of these jurisdictions undertook to impose restrictive Victorian standards of sexual morality on literature and the arts. In the second half of the twentieth century, their constitutional courts began seriously considering free expression claims brought by artists and writers prosecuted for obscenity. These courts have all struggled with a central paradox. Obscenity law criminalizes speech because it is offensive, but freedom of speech is an empty concept if it does not include the freedom to offend. The United States began to move away from Victorian standards after the middle of the twentieth century, replacing them with “community standards” and a promise of protection for “serious” works. Canada adopted an approach purportedly based on harm rather than morality, with results that were scarcely less repressive. Courts in India and Japan have been slow to extend protection to sexual speech. Paradoxically, in both India and Japan, nationalist prosecutors and judges have embraced imported Victorian standards of propriety as an expression of national identity, deploying them to suppress not just foreign but also indigenous works. Their narrow nationalism depends on a sanitized and incomplete picture of history, so sometimes defendants have prevailed when they could appeal to more tolerant pre-Victorian national traditions. This Article concludes that while obscenity law evidently does little to protect public morality or prevent harm, it can be a dangerous weapon in the hands of groups seeking to enforce political, social, and cultural conformity.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.112
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0130.069
Scholarly communication0.0110.006
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.331
Teacher spread0.306 · 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 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
Published2018
Admission routes1
Has abstractyes

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