Snakes, Ladders, and Information about Sexually Transmitted Infections: Evaluation of a Peer Educator Training on the Thailand-Burma Border
Bibliographic record
Abstract
The longstanding conflict and civil strife in Burma has had significant consequences on the sexual and reproductive health (SRH) of ethnic minority groups, including adolescents. The Adolescent Reproductive Health Zone in Chiang Mai, Thailand promotes adolescent SRH rights and access to services by having peer educators travel to their hometowns in Burma and lead intensive youth-focused trainings on a variety of topics and issues. In order to evaluate the impact of an intensive three-day workshop dedicated to improving knowledge of sexually transmitted infections (STIs) among peer educators through didactic, experiential, and skill-building exercises, we administered a pre-, post-, and longitudinal assessment. All 13 participants completed both the pre-test and post-test; 11 of 13 participants (85%) completed the longitudinal evaluation administered three months after the training. Our results indicate that both individual and aggregate STI knowledge increased from baseline and that this knowledge was retained. Moreover, the training increased participants’ confidence in their outreach abilities, informed changes in the curricular modules, and led to the implementation of new teaching and learning techniques, especially the incorporation of games and activities. Our findings showcase a successful initiative and suggest similar adolescent peer health educator programs could be undertaken in this protracted crisis and conflict setting.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".