MétaCan
Menu
Back to cohort
Record W2415759448 · doi:10.1080/10720162.2015.1130000

Surfing for Sexual Sin: Relations Between Religiousness and Viewing Sexual Content Online

2016· article· en· W2415759448 on OpenAlexaff
Cara C. MacInnis, Gordon Hodson

Bibliographic record

VenueSexual Addiction & Compulsivity The Journal of Treatment and Prevention · 2016
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsBrock UniversityUniversity of Calgary
Fundersnot available
KeywordsReligiosityPornographyPsychologySocial psychologyHuman sexualityContent (measure theory)Gender studiesSociology

Abstract

fetched live from OpenAlex

Religious individuals in America have concerns about pornography addiction among the religious. Whereas positive associations between religiosity and online pornography use exist at the state level, associations between religiosity and online pornography consumption at the individual level are typically negative. We examined (1) reactions to, (2) perceptions of, and (3) self-report based relations between religiousness and viewing sexual content online among adult web users. Those higher in religiosity or religious fundamentalism responded more negatively to, and were less willing to accept, scientific findings demonstrating positive associations between state-level religiousness and increased viewing of sexual content online. More religious individuals were more likely to believe that moral values, race, and finances (not religion) impact the extent to which sexual content is viewed online. More religious individuals also held more negative beliefs about viewing sexual content online and perceived such viewing as more problematic than other prominent social issues (e.g., racism, gun violence). Finally, those higher in religiousness reported less viewing of sexual content online overall. Among a subset of individuals relatively high in religiosity or religious fundamentalism who reported viewing sexual content online, religiosity was associated with feeling negatively about this behavior and a self-reported motive of monitoring society's immorality.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.110
GPT teacher head0.359
Teacher spread0.249 · 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 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

Citations42
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSexual Addiction & Compulsivity The Journal of Treatment and PreventionSame topicSexuality, Behavior, and TechnologyFrench-language works237,207