Kenyan youth’s understanding of cancer and cancer risk: a qualitative study
Bibliographic record
Abstract
Cancer incidence and mortality continues to rise worldwide including in Kenya and Kenyan youth who take part in cancer risk behaviour increase their chances of getting the disease in future. Despite this awareness, little is known about how Kenyan youth conceptualize cancer and cancer risk. Therefore, using a qualitative research study approach, we explored Kenyan youth’s understanding of cancer and cancer risk. Fifty-three youth between ages 12–19 years were engaged through individual interviews and focus group discussions. Using qualitative analysis approaches, we arrived at youth’s conceptualization of cancer and cancer risk. In youth’s conceptualization of cancer, their descriptions are grouped into two themes: ‘Cancer as a mysterious illness’ and ‘Lay representations using metaphors’. In their conceptualization of cancer risk, youth described cancer risk in ways that are grouped as ‘Cancer risk as lifestyle factors’ and ‘The process of understanding risk’. Our study is the first of its kind to be conducted in Kenya and we present critical findings and recommendations for cancer and cancer risk awareness, health education, and promotion for this population.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".