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Record W2558572806

Obscenity: Prosecution Problems and Legislative Suggestions

2016· article· en· W2558572806 on OpenAlexfundno aff
Richard H. Kuh

Bibliographic record

Venue˜The œCatholic lawyer · 2016
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
FundersYork University
KeywordsLegislatureLawPolitical scienceLegislative intent
DOInot available

Abstract

fetched live from OpenAlex

in the area of so-called "strip-tease nude" sets. 2 The case of People v. Fried,' decided by New York's intermediate appellate court in March 1963, involved "strip-tease nude" sets.Two years earlier, in May 1961, the New York Court of Appeals, divided twotwo-three, had held, in the case of People v. Richmond County News, Inc., 4 that only "hard core" was actionable obscenity in the Empire State.Immediately following that decision, trial judges hearing obscenity charges had become cautious, most feeling compelled to dismiss cases involving pictures other than those depicting sexual activity or revealing clearly exposed pubic area.Then came the Fried case in which a misdemeanor conviction for the sale of "strip-tease nudes" (and other items) was sustained.A month after this rare appellate victory for law enforcement, New York State Court of Appeals Judge Stanley Fuld, whose opinions in the obscenity area mark him as New York's most permissive high court judge, at least in the area of alleged pornography, denied leave to appeal to the state's highest tribunal.In July 1963, Mr. Justice Potter Stewart of the United States Supreme Court stayed Fried's jail sentence, until the Supreme Court could rul on Fried's certiorari petition.Almost a year thereafter, on June 22, 1964, split six to three, the Supreme Court denied certiorari. 5Consequently, more than two years subsequent to his conviction, Fried was finally committed to serve his 2 "Strip-tease nude" sets are generally four to six pictures, each picture showing the same woman (and some showing two or more women) in various stages of undress. 318 App.Div.2d 996, 238 N.Y.S.2d 742 (1st Dep't 1963) (memorandum decision).49 N.Y.2d

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score0.507

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.047
GPT teacher head0.321
Teacher spread0.274 · 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
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
Published2016
Admission routes1
Has abstractyes

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