Dissemination of culturally- and linguistically-appropriate educational intervention for cervical cancer screening for Chinese Albertan women
Bibliographic record
Abstract
Chinese immigrants to Canada have a low utilization rate of Pap smear test. The objective of this study was to evaluate whether efficacy-proven educational materials can be effectively disseminated and increase the test utilization for under-screened Chinese Albertan women. Of 120 participants we reached through 10 Chinese churches, 78% reported having ever had a Pap test and 38% reported having a test in the preceding year. Within three months post-intervention, 41% of never screened, 27% of not recently screened women at baseline received the test, and 14% made an appointment with physicians for the test. For Pap testing utilization, recommendation from physicians appeared being a strong facilitator, while language and cultural perception, “Often forget” and “time availability” were identified as barriers. Culturally- and linguistically-appropriate educational materials for cervical cancer screening can be disseminated effectively through Chinese churches and may lead to increased Pap test participation rate of under-screened Chinese immigrants.
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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 | 0.003 | 0.008 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".