Correlates of Putting Condoms On After Sex Has Begun and of Removing Them Before Sex Ends: A Study of Men Attending an Urban Public STD Clinic
Bibliographic record
Abstract
This study aimed to identify possible correlates of putting condoms on after sex has begun and taking them off before sex has ended among male patients of an urban, public sexually transmitted disease clinic. Participants responded to a questionnaire and were largely African American men, 18 to 35 years old, who had used a condom during penile-vaginal intercourse at least three times in the past 3 months. In controlled analyses, men who were not highly motivated to use condoms correctly were nearly twice as likely to put a condom on after sex had begun. Men who reported erection loss during sex were about twice as likely to remove condoms before sex ended. Men reporting difficulties with the fit and feel of condoms were 2.5 times more likely to remove condoms early. Identified correlates may be amenable to clinic-based education and counseling augmented by offering a variety of condom brands and sizes to patients.
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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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".