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Record W2555637160 · doi:10.1089/cyber.2016.0364

Cyberpornography: Time Use, Perceived Addiction, Sexual Functioning, and Sexual Satisfaction

2016· article· en· W2555637160 on OpenAlex

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

VenueCyberpsychology Behavior and Social Networking · 2016
Typearticle
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsUniversité du Québec à MontréalUniversité Laval
Fundersnot available
KeywordsPornographyPsychologyAddictionDistressClinical psychologyMediationPath analysis (statistics)Developmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Using pornography through the Internet is now a common activity even if associated sexual outcomes, including sexual satisfaction, are highly variable. The present study tested a two-step sequential mediation model whereby cyberpornography time use is related to sexual satisfaction through the association with, in a first step, perceived addiction to cyberpornography (i.e., perceived compulsivity, effort to access, and distress toward pornography) and with, in a second step, sexual functioning problems (i.e., sexual dysfunction, compulsion, and avoidance). These differential associations were also examined across gender using model invariance across men and women. A sample of 832 adults from the community completed self-report online questionnaires. Results indicated that 51 percent of women and 90 percent of men reported viewing pornography through the Internet. Path analyses showed indirect complex associations in which cyberpornography time use is associated with sexual dissatisfaction through perceived addiction and sexual functioning problems. These patterns of associations held for both men and women.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.313
Teacher spread0.275 · 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