Low–Socioeconomic Status Workers
Bibliographic record
Abstract
OBJECTIVE: To help workplace health promotion practitioners reach low-socioeconomic status workers at high risk for chronic diseases. METHODS: We describe low-socioeconomic status workers' diseases, health status, demographics, risk behaviors, and workplaces, using data from the Behavioral Risk Factor Surveillance System, Medical Expenditure Panel Survey, and Bureau of Labor Statistics. RESULTS: Workers with household annual incomes less than $35,000, or a high school education or less, report more chronic diseases and lower health status. They tend to be younger, nonwhite, and have much higher levels of smoking and missed cholesterol screening. They are concentrated in the smallest and largest workplaces and in three low-wage industries that employ one-quarter of the population. CONCLUSIONS: To decrease chronic diseases among low-socioeconomic status workers, we need to focus workplace health promotion programs on workers in low-wage industries and small workplaces.
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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 | 0.000 |
| 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) | 0.004 | 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".