Internet pornography: A social psychological perspective on internet sexuality
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
Spectacular growth in availability of sexually explicit material on the Internet challenges sexual science to study antecedents and consequences of experience with such content. The current analysis attempts to provide a conceptual and empirical context for emerging work in this area. Our discussion begins with a summary of some of what has been learned from existing research concerning sexually explicit materials in contexts other than the Internet, and considers lessons from this work that may inform emerging research concerning Internet sexuality. A social psychological theory, the Sexual Behavior Sequence (Byrne, 1977), is then applied in an initial effort to conceptualize a number of antecedents and consequences of experience with Internet sexuality. Discussion closes with consideration of an agenda for future research concerning antecedents and consequences of experience with Internet sexually explicit materials.
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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 | 0.007 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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