Breast Cancer Knowledge and Early Detection among Hispanic Women with a Family History of Breast Cancer along the U.S.-Mexico Border
Bibliographic record
Abstract
BACKGROUND: Breast cancer is the leading cause of cancer-related death among U.S. Hispanic women. Hispanics are less likely than non-Hispanic White women to be diagnosed at an early stage and survive breast cancer. METHODS: For this cross-sectional study, we assessed differences in breast cancer knowledge, attitudes, and screening practices between Hispanic women with (FH+) and without (FH-) a family history of breast cancer in three U.S.-Mexico border counties. RESULTS: Among 137 Hispanic women age 40 and older, FH+ women had levels of knowledge and attitudes about breast cancer similar to those of FH- women. FH+ participants were more likely to have ever performed breast self-examinations, although levels of compliance with screening guidelines did not significantly differ between FH+ and FH- groups. CONCLUSION: U.S. Hispanic women with a family history of breast cancer constitute an at-risk group for which adhering to preventive screening guidelines could substantially reduce breast cancer mortality.
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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 | 0.002 |
| 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) | 0.002 | 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".