Examining sexually explicit material use in adults over the age of 65 years
Bibliographic record
Abstract
Older adult use of sexually explicit material (SEM) is under-researched. The current exploratory, cross-sectional study explored SEM use among adults 65 years and older. Eighty-eight participants from Canada and the United States completed a survey through Amazon Mechanical Turk to address questions on SEM use, access and barriers to use, and preferences in SEM. Results indicated that participants were accessing SEM 10.73 ( SD = 10.13) times per month and spending about 27.20 ( SD = 23.09) minutes per session. Users, on average, were more likely to be men. Results also indicated participants preferred mature, amateur, and MILF genres, and primarily accessed SEM online. Top barriers to SEM use were related to disapproval and shame, indicating that stigma around older adult sexuality may be present. Study findings expand upon knowledge in the field and help provide further understanding of older adults’ sexuality and SEM use.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".