A Historical and Empirical Review of Pornography and Romantic Relationships: Implications for Family Researchers
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.
Bibliographic record
Abstract
This article provides a broad overview of pornography's effects on romantic relationships since the late 1960s, examining the literature through the family impact lens and focusing on pornography's potential influence on relational stability. Pornography's effects are relevant for consumers, public officials, and family scholars concerned with the stability of committed relationships. In particular, findings suggest that pornography can reduce satisfaction with partners and relationships through contrast effects, reduce commitment by increasing the appeal of relationship alternatives, and increase acceptance of infidelity. Evidence connecting pornography to rape or sexual aggression remains mixed, although these effects continue to have important implications for how romantic partners interact. The theoretical perspectives underlying these effects are discussed.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it