Bibliographic record
Abstract
The goal of this study was to extend our understanding of attitudes toward three types of online sexual activity (OSA) among both students and members of the community: non-arousal OSA (N-OSA), solitary-arousal OSA (S-OSA), and partnered-arousal OSA (P-OSA). In Study 1, 81 male and 140 female undergraduate students completed a paper and pencil survey. In Study 2, an age and sexually diverse group of 137 men and 188 women recruited from the Internet completed an online survey. The results from the two studies were more similar than different. Attitudes toward the three types of activities were neutral to slightly positive on average. The three types of attitudes were significantly related but also distinct. The men’s attitudes toward S-OSA and P-OSA were more positive than were the women’s; the men and women did not differ in their attitudes toward N-OSA. Sexual minority individuals had more positive OSA attitudes overall. Individuals who were less traditional tended to have more positive attitudes. These results are discussed in terms of the growing acceptance of online sexuality.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.004 | 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".