The prevalence of risk for mental health problems among high school students in the Western Cape Province, South Africa
Bibliographic record
Abstract
The aim of this article is to describe the prevalence of risk for developing mental health problems in a large survey of high school students in the Western Cape Province in South Africa. The study population comprised students in Grades 8, 9, and 10 attending public schools in the Western Cape Province. Schools were randomly sampled proportional to total school size (all grades). A total of 227 schools and a total of 20,855 students completed the survey. Overall, 14.9% of students were categorised as ‘high risk’ for mental health problems. A significantly higher proportion of female participants were in the ‘high-risk’ category (18.5%; confidence interval = [17.2, 19.8]) than male participants (10.1%; confidence interval = [9.3, 10.8]). Female students who reported more days absent from school in the previous school quarter were more likely to be in the ‘high-risk’ category for mental health problems. Findings highlight the need for screening for mental health problems among adolescents attending high school in South Africa, and the need to develop intervention programmes for students at risk of mental health problems.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".