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Record W3086136920 · doi:10.4324/9781315201702-4

A Meta-Analysis of the Published Research on the Effects of Pornography

2017· book· en· W3086136920 on OpenAlex
Elizabeth Oddone-Paolucci, Mark Genuis, Claudio Violato

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPornographyPsychologyMeta-analysisSocial psychologySocioeconomic statusDemographyDevelopmental psychologyMedicinePopulationSociology

Abstract

fetched live from OpenAlex

A meta-analysis of 46 published studies was undertaken to determine the effects of pornography on sexual deviancy, sexual perpetration, attitudes regarding intimate relationships, and attitudes regarding the rape myth. Most of the studies were done in the United States (39; 85%) and ranged in date from 1962 to 1995, with 35% (n=16) published between 1990 and 1995, and 33% (n=15) between 1978 and 1983. A total sample size of 12,323 people comprised the present meta-analysis. Effect sizes (ḏ) were computed on each of the dependent variables for studies which were published in an academic journal, had a total sample size of 12 or greater, and included a contrast or comparison group. Average unweighted and weighted ḏ’s for sexual deviancy (.68 and .65), sexual perpetration (.67 and .46), intimate relationships (.83 and .40), and the rape myth (.74 and .64) provide clear evidence confirming the link between increased risk for negative development when exposed to pornography. These results suggest that the research in this area can move beyond the question of whether pornography has an influence on violence and family functioning. Various potentially moderating variables such as gender, socioeconomic status (SES), number of incidents of exposure, relationship of person who introduced pornography to the participant, degree of explicitness, subject of pornography, pornographic medium, and definition of pornography were assessed for each of the studies. The results are discussed in terms of the quality of the pornography research available and the subsequent limitations inherent in the present meta-analysis.

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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.519
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.296
GPT teacher head0.459
Teacher spread0.163 · 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

Quick stats

Citations67
Published2017
Admission routes1
Has abstractyes

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