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Record W2131007843 · doi:10.1080/00224499.2015.1023427

Is Pornography <i>Really</i> about “Making Hate to Women”? Pornography Users Hold More Gender Egalitarian Attitudes Than Nonusers in a Representative American Sample

2015· article· en· W2131007843 on OpenAlexaff
Taylor Kohut, Jodie L. Baer, Brendan Watts

Bibliographic record

VenueThe Journal of Sex Research · 2015
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsWestern University
Fundersnot available
KeywordsPornographyPsychologySocial psychologyFeminismSubordination (linguistics)AbortionTest (biology)Gender studiesSociologyPregnancy

Abstract

fetched live from OpenAlex

According to radical feminist theory, pornography serves to further the subordination of women by training its users, males and females alike, to view women as little more than sex objects over whom men should have complete control. Composite variables from the General Social Survey were used to test the hypothesis that pornography users would hold attitudes that were more supportive of gender nonegalitarianism than nonusers of pornography. Results did not support hypotheses derived from radical feminist theory. Pornography users held more egalitarian attitudes--toward women in positions of power, toward women working outside the home, and toward abortion--than nonusers of pornography. Further, pornography users and pornography nonusers did not differ significantly in their attitudes toward the traditional family and in their self-identification as feminist. The results of this study suggest that pornography use may not be associated with gender nonegalitarian attitudes in a manner that is consistent with radical feminist theory.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.218
GPT teacher head0.491
Teacher spread0.273 · 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 designObservational
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

Citations111
Published2015
Admission routes1
Has abstractyes

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