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Record W3042104566 · doi:10.18103/mra.v6i5.1750

How Holistic is Complementary and Alternative Med-icine (CAM)? Examining Self-Responsibilization in CAM and Biomedicine in a Neoliberal Age

2018· article· en· W3042104566 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 Research Archives · 2018
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsThe King's UniversityWestern University
Fundersnot available
KeywordsBiomedicineIndividualismHolismSociologyHealth careChiropracticAlternative medicineHolistic healthEpistemologySocial scienceEngineering ethicsMedicinePolitical scienceLawEngineeringPhilosophy

Abstract

fetched live from OpenAlex

This review paper adds to recent social science interrogation of common boundaries between CAM (complementary and alternative medicine) and biomedicine, by examining an unquestioned dichotomy often ascribed to them: holism vs. individualism. Drawing from social scientific literature review, this paper draws attention to the individualistic focus of CAM by situating contemporary CAM developments within a neoliberal climate that emphasizes individual responsibility for health care. Focusing on the individualistic features of CAM helps rethink commonly held assumptions regarding the holistic features of CAM, which tend to gain the most attention in popular and scholarly representations of CAM as distinct from biomedicine. As well, the individualistic features of CAM shed light on the significant role of CAM in health care as a form of individual consumptive choice rather than as a collective responsibility on the part of the state to complement national health care systems.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.195
GPT teacher head0.460
Teacher spread0.266 · 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