Essential Engagement as the First Step in Gaining Entrée into the Laotian American Community on Cervical Cancer Screening
Bibliographic record
Abstract
Asian American women, including Laotian American women (LAW), have the lowest rate of being up to date with cervical cancer (CC) screenings at 75% compared to other ethnic groups (85% White, 86% Black, 79% Hispanic, 79% American Indian/Alaska Native; American Cancer Society, 2019; Nghiem, Davies, Chan, Mulla, & Cantor, 2016). This rate is substantially lower than the national objective of 93% (Healthy People.gov, 2020). CC is highly treatable if caught early in the localized stage with a 91.8% 5-year survival rate (National Cancer Institute, n.d.). There is scant research on the incidence and factors surrounding CC screening in Laotian Americans and has primarily been representative of California. The Portland metropolitan area in the United States’ (U.S.) Pacific Northwest has one of the top ten highest Laotian American populations (Greblo, 2011). The Laotian American cultural community leaders (CCLs) in the Pacific Northwest expressed to our academic project team at Washington State University Elson S. Floyd College of Medicine and the College of Nursing that the Laotian American community is a private ethnic group wary of those from the outside and particularly researchers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".