Micro-entrepreneurship programs and sexual health prevention among sex workers in Cambodia: is an integrative approach the way forward?
Bibliographic record
Abstract
Improving livelihoods through entrepreneurship activities and program implementation are increasingly considered as key drivers for enhancing health of the participants and reducing their proneness to diseases. Combined programs of entrepreneurship and health education have yet to be widely applied to the practice of promoting sexual health. However, there has been the emergence of small projects focused on both financial and educational aspects of sex workers. The objective of these programs is to favor the empowerment of vulnerable groups through skills training in order to decrease sexual risk among them. Considering the well-known structural links between poverty and HIV/AIDS, combined micro-enterprise development and health educational programs have been implemented among sex workers in order to reduce the risk of HIV/AIDS among these categories of women. This article aims to explore the potential of these combined programs of entrepreneurship and health education to create new models and strategies to improve sexual health among groups at greatest risk of infection such as the sex workers in Phnom Penh, Cambodia.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".