Cyberpornography: Time Use, Perceived Addiction, Sexual Functioning, and Sexual Satisfaction
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".