Bibliographic record
Abstract
Many people in fields of medicine and public health do not understand potential role that anthropology could play in development of public health policy. The intention of this article is to provide readers with an understanding of unique perspective that medical anthropology could contribute to informing public health policy decisions. Socio-cultural anthropology has undergone significant theoretical and pragmatic changes over past half-century. As a discipline, anthropology has been criticized for its role in imperial conquest. During colonial times, anthropologists often accompanied colonial explorers and military in order to facilitate their work, this is often referred to as 'the handmaiden era' in history of anthropology's history. It is said that in this role, anthropologists gained trust of natives using their linguistic proficiency and cultural awareness in order to assist colonial state in implementation of policies that ultimately led to further oppression and disempowerment (Pels and Salemind). Such critiques, among others, have led to a significant redirection of anthropological thought and theory (Lewis). Social and cultural anthropology have turned towards a more critical, reflexive and holistic approach since that time. This 'reconstruction' of anthropology has resulted in an increase in criticism of those structures that had previously been assumed as 'right' and inherently 'good'. Scheper-Hughes writes about how social scientists have typically been blind to unequal power relationships that have been harmful to informants. She calls for anthropologists to take a critical stance against such structural and institutional violence (Coming to Our Senses). Holism has also become an important hallmark of modern ethnography. Even most basic concept of classic anthropology ― culture ― has been rethought: the modern view of culture is to stress importance of always seeing it within its particular context... 'culture' cannot ― and should never be ― considered in a vacuum (Helman 4,7). These fundamental changes in broad discipline of socio-cultural anthropology have manifested themselves in each of its related sub-disciplines. This paper will examine these changes in subdiscipline of medical anthropology, and particularly how these changes allow anthropology to make a contribution to public health policy development.
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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 | 0.026 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.009 | 0.046 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".