Risk or Release?: Porn Use Trajectories and the Accumulation of Sexual Partners
Bibliographic record
Abstract
A central question in the study of pornography consumption is whether consumption influences risky sexual behavior. In this research, we focus on one key aspect of risky sexual behavior, the accumulation of sexual partners. Using longitudinal latent class analysis of a nationally representative sample, we determine distinct trajectories of pornography consumption. We then use hurdle models to relate membership in these trajectories to the initiation of sexual activity and accumulation of sexual partners. Even with controls for likely confounds (such as risk-taking propensity and relationship formation), we find that adolescents with a trajectory of early and regular pornography use are more likely to report the initiation of sexual activity and nearly double the number of sexual partners as those with a low-use trajectory. This research is of sociological interest because pornography consumption is becoming increasingly common well before adulthood, suggesting that recent cohorts of emerging adults may be more likely to engage in risky sexual behavior through the accumulation of multiple sexual partners.
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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 | 0.000 | 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".