Cervical Cancer Screening Uptake and Experiences of Black African Immigrant Women in Canada
Bibliographic record
Abstract
Cervical cancer is one of the leading causes of cancer-related death among African women. Unfortunately, in most sub-Saharan African nations, women are vulnerable if they are unaware that cervical cancer is preventable with frequent screening and early treatment. The aim of this study was to examine Black African immigrant women's perceptions and experiences of cervical screening in British Columbia, Canada. Twenty Black African immigrant women were interviewed using the qualitative research method Interpretive Description. Data collection approaches included indepth interviews and analytic memos. Data were analyzed using a constant comparative technique guided by a socioecologic framework to capture subjective experiences and perceptions. Four key themes were identified, including confusing conceptualizations about cancer and cancer screening, competing priorities, concerns for modesty, and commitment to culture. The study findings point to the need for more active approaches to promoting cervical screening 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".