Anthropology, Inequality, and Disease: A Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
▪ Abstract Anthropological approaches broaden and deepen our understanding of the finding that high levels of socioeconomic inequality correlate with worsened health outcomes across an entire society. Social scientists have debated whether such societies are unhealthy because of diminished social cohesion, psychobiological pathways, or the material environment. Anthropologists have questioned these mechanisms, emphasizing that fine-grained ethnographic studies reveal that social cohesion is locally and historically produced; psychobiological pathways involve complex, longitudinal biosocial dynamics suggesting causation cannot be viewed in purely biological terms; and material factors in health care need to be firmly situated within a broad geopolitical analysis. As a result, anthropological scholarship argues that this finding should be understood within a theoretical framework that avoids the pitfalls of methodological individualism, assumed universalism, and unidirectional causation. Rather, affliction must be understood as the embodiment of social hierarchy, a form of violence that for modern bodies is increasingly sublimated into differential disease rates and can be measured in terms of variances in morbidity and mortality between social groups. Ethnographies on the terrain of this neoliberal global health economy suggest that the violence of this inequality will continue to spiral as the exclusion of poorer societies from the global economy worsens their health—an illness poverty trap that, with few exceptions, has been greeted by a culture of indifference that is the hallmark of situations of extreme violence and terror. Studies of biocommodities and biomarkets index the processes by which those who are less well off trade in their long-term health for short-term gain, to the benefit of the long-term health of better-off individuals. Paradoxically, new biomedical technologies have served to heighten the commodification of the body, driving this trade in biological futures as well as organs and body parts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it