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Record W2044953130 · doi:10.1525/maq.2001.15.4.478

The Tempering of Medical Anthropology: Troubling Natural Categories

2001· review· en· W2044953130 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Anthropology Quarterly · 2001
Typereview
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicalizationCoproductionSociologyEthnographyMedical anthropologyArgument (complex analysis)Embodied cognitionAction (physics)EpistemologyAnthropologySocial scienceEnvironmental ethicsMedicine

Abstract

fetched live from OpenAlex

This article reviews an approach in medical anthropology that commenced in the early 1980s and that continues to the present day in which biomedical knowledge and practices are systematically incorporated into anthropological analyses. Discussion then focuses on contributions made by feminists and medical anthropologists to the literature on medicalization and resistance, illustrating how the ethnographic approach has been crucial in critically reconceptualizing and situating these concepts historically and cross-culturally. The concept of local biologies is introduced in the third section of the article in creating the argument that the coproduction of biologies and cultures contributes to embodied experience, which, in turn, shapes discourse about the body. Subjective reporting at menopause provides an illustrative case study of local biologies in action. The final part of the article takes up the question of the moral economy of scientific knowledge. Comparative ethnographic work in intensive care units in Japan and North America reveals how a moral economy is put into practice in connection with brain-dead bodies and the procurement of organs from them. Medical anthropological contributions to policy making about biomedical technologies is briefly considered in closing.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0020.037
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.098
GPT teacher head0.433
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it