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Record W2229502506 · doi:10.1089/107555304323062437

Standards of Education, Regulation, and Market Control: Perspectives on Complementary and Alternative Medicine in Ontario, Canada

2004· review· en· W2229502506 on OpenAlexaffabout
Riyad A. Shahjahan

Bibliographic record

VenueThe Journal of Alternative and Complementary Medicine · 2004
Typereview
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStandardizationMedicineDominance (genetics)Alternative medicineControl (management)Competition (biology)Public relationsEngineering ethicsMedical educationLawManagementPolitical sciencePathologyEconomics

Abstract

fetched live from OpenAlex

This paper provides a contemporary analysis of the issues and questions surrounding the regulation and standardization of education with respect to two complementary and alternative medicine (CAM) professions, namely Chinese traditional medicine and homeopath in Ontario, Canada. Rather than taking a standard of education for granted, the assumption that standardizing professional education is a positive move is critiqued because it is claimed to ensure public safety and uniformity within the profession. It is argued that such an assumption fails to deconstruct the power relations involved with setting a standard of education and continues to ignore the fact that setting a standard of education in CAM is part and parcel of biomedical dominance, competition, turf wars and survival. At the end of this paper, some critical questions regarding setting standards of education by the health professions in general are raised.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.867
Threshold uncertainty score0.962

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.013
Science and technology studies0.0040.009
Scholarly communication0.0060.002
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.367
Teacher spread0.320 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations11
Published2004
Admission routes2
Has abstractyes

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