Using diaries to measure parameters of transactional sex: an example from the Trans‐Africa highway in Kenya
Bibliographic record
Abstract
Conventional methods of elicitation have severe limitations where sensitive information is being sought, resulting from both self-disclosure and recall bias. The use of diaries largely circumvents both of these problems. Four hundred and three female sex workers based on a section of the Trans-Africa Highway in Kenya completed standard diaries for consecutive 28-day periods. Variables measured included numbers and types of different clients, condom use, occupation of client, movement patterns and days of menses. Mean numbers of sexual partners, liaisons and sex acts and inter-relationships between the variables measured are analysed. The study affirms the value of diaries as an elicitation method for studying transactional sex in a resource-poor setting. Usable diaries were received from 70% of those who had agreed to participate in the study. The diaries yield detailed quantitative data that describe the characteristics and dynamics of transactional sex on a major highway in Africa and provide information that may be used to estimate HIV transmission rates.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".