Internet sexuality research with rural men who have sex with men: Can we recruit and retain them?
Bibliographic record
Abstract
This study examines the utility of internet banner ads for recruiting rural MSM and identifies correlates of internet HIV risk survey initiation and completion. Banner ads were shown on a popular internet dating site for one month and resulted in 1,045 rural MSM, from 49 States, Canada, Australia/New Zealand, and 5 from other countries initiating the questionnaire. Logistic regression indicated that progression beyond screening questions was negatively related to "expecting pay, but not being paid" and positively related to "using chat rooms to find friends" and identifying as gay. Linear regression indicated that the absolute number of responses by consenting participants was positively correlated with reimbursement, number of sexual partners, motivated by money, and having been HIV tested. Overall, this sample represents one of the largest rural MSM samples; survey completion was high and strengthened by reimbursement and possibly by awareness of HIV risk. Generalizability was limited by low participation of minority and non-gay identified MSM.
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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 | 0.023 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".