Survey of Young People’s Sexual and Reproductive Health Knowledge in Northern Namibia
Bibliographic record
Abstract
During the first COVID-19 lockdown in Namibia (March-September 2020), there were an estimated 3,600 teenage pregnancies, an increase from the annual average of 1,400 (1). The regions of Kavango East and West were particularly impacted. In response to these figures, the Ombetja Yehinga Organisation (OYO), a youth-focused Namibian non-governmental organization, administered a survey to assess students’ sexual and reproductive health knowledge. This survey will provide baseline information regarding the effectiveness of a school-based intervention to promote safe sexual behaviours using the “Teenage Pregnancy” info-magazine. Young people completed an in-person survey which included questions relating to demographic characteristics, True or False sexual and reproductive health statements, and knowledge of contraception and school policy. Questionnaires were administered in groups after school hours by trained facilitators, checked for completeness and confidentiality using a unique identification code, scanned and shared with the team at McGill University for data entry and analysis. A total of 13 schools and 794 students aged 13-25 years participated in the survey and were included in data analysis. Knowledge on access and the safe use of contraceptives was limited, suggesting that school-based interventions (such as the OYO program) may be necessary to disseminate this crucial information.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".