A Biological Caste System? An Investigation of Epigenetics and Socioeconomic Status in Western Society
Bibliographic record
Abstract
Epigenetic research has revealed that socioeconomic status (SES) affects people’s lives much more than previously thought. Studies have previously found links between SES and health outcomes that could not be explained by factors classically attributed to the phenomenon of health disparities between the rich and the poor. Further research suggests that epigenetic markers that correlate with SES can have physiologic effects on the individual carrying them, including risk for cardiovascular disease and depression. These markers modulate gene expression without altering the genetic code and are typically regulated by the environment in which an individual or their ancestors lived. Current findings highlight the importance of putting medical care in the context of patient experience, but this research only scratches the surface of the association between SES-related changes in the epigenome and social mobility. Future studies can further investigate if stressors related to low SES are driving epigenetic changes that affect health outcomes. This relationship may have societal consequences and could shape the future of medicine by influencing policy making and personalized patient care.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".