Breast Health Educational Interventions
Bibliographic record
Abstract
Health education programs supported by women's groups or workplaces have been successful in reaching large populations and changing intentions to perform breast health behaviors. This study examined the responses women working in the automotive industry had to two health education interventions, mailed pamphlets, and a combination of mailed material and classes at the worksite compared to a control group. A quasi-experimental design was used. Of the 948 women completing the pre-test, 437 also completed the post-test and were highly representative of the initial sample. The findings suggest that although the mailed information produced some change in practices and intentions, the classes in combination with the mailed pamphlets produced greater change. In addition, confidence in breast self examination as a method of detecting an existing breast lump increased from pre-test to post-test across all age groups. The reported influences on the women's decisions related to breast health varied across the life span. The results of this study can be used to support the development of effective health promotion programs for use at workplaces to increase the likelihood of women engaging in healthy breast practices.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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".