Breast Cancer: Knowledge, Attitudes, and Practices of Female Schoolteachers in Lagos, Nigeria
Bibliographic record
Abstract
This article examines the knowledge, attitudes, and practices of female schoolteachers concerning breast cancer. A cross-sectional survey was conducted among 200 schoolteachers randomly selected from 12 schools in Lagos, Nigeria. A self-administered questionnaire was used to investigate their knowledge about the symptoms of breast cancer, methods of diagnosis, risk factors, and breast self-examination. A response rate of 94% (188 respondents) was achieved. Eighty-five percent knew breast cancer was a serious disease, but only 53.2% knew that a breast lump was the most commonly recognized sign. Other symptoms were even less well known. Only 13.8% knew the methods of diagnosis, and knowledge of risk factors was also poor. Breast self-examination was practiced by 62% of respondents; 11% practiced it on a monthly basis, but only 25% were deemed to possess sufficient knowledge about the procedure. One-quarter of participants were categorized as possessing a satisfactory knowledge of breast cancer. The level of awareness on breast cancer is very low among this group of female schoolteachers.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".