Why and According to What Consultation Profiles Do Female Sex Workers Consult Health Care Professionals? A Study Conducted in Laval, Québec
Bibliographic record
Abstract
We carried out a study to understand help-seeking behavior among female sex workers in order to bring adequate health care and services to this population at risk for sexually transmitted infection (STI) and human immunodeficiency virus (HIV) transmissions. Data were collected by means of questionnaires, focus groups, and in-depth individual interviews. Analysis reveals that the respondents are familiar with and have access to the health care system. Over 80% claimed to have consulted a health professional during the preceding 12 months. Gynecological, psychosocial, respiratory, digestive, and drug addiction problems were the most frequent. Only a third of the respondents received care and services related to STIs. Data are displayed as three consultation profiles, one of which only tends to foster continuity and comprehensive health care, including screening and treatment of STIs.
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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 | 0.001 | 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".