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Record W2256757195 · doi:10.13162/hro-ors.v3i2.2441

Regulating Traditional Chinese Medicine Practitioners and Acupuncturists in Ontario, Canada

2015· article· fr· W2256757195 on OpenAlexaffvenueabout
Glen E. Randall, Mark Embrett, Neil G. Barr, Diana K. Vania

Bibliographic record

VenueHealth Reform Observer - Observatoire des Réformes de Santé · 2015
Typearticle
Languagefr
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsMcMaster University
Fundersnot available
KeywordsLegislationGovernment (linguistics)DelegateMedicinePolitical scienceTraditional Chinese medicineAlternative medicinePublic consultationPublic relationsTraditional medicineFamily medicinePublic administrationLaw

Abstract

fetched live from OpenAlex

In 2006, the Ontario government passed the Traditional Chinese Medicine Act, which granted Traditional Chinese Medicine practitioners and Acupuncturists (TCM/A practitioners) self-regulatory status under the Regulated Health Professions Act, 1991. The goal of the legislation was to create a new regulatory college that would set and enforce high standards of care and safety in order to enhance public protection and access to a range of traditional and alternative therapies. In April 2013, the College of Traditional Chinese Medicine Practitioners and Acupuncturists of Ontario was officially launched. Several factors account for the government’s decision to delegate self-regulatory authority to TCM/A practitioners through the creation of a regulatory college. In particular, the government’s decision seems to have been influenced by lobbying of some practitioners, greater public acceptance of alternative medicines, patient safety concerns related to acupuncture cases in the media, and the precedence of self-regulatory status being granted to these practitioners in other provinces. The degree to which the legislation has achieved its goals is difficult to determine given the short period of time the regulatory college has existed. However, the fact that the college has developed standards of practice to guide TCM/A practitioners and has a process in place to address public complaints is an early indication of movement toward achieving the policy’s goals.

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 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)0.017
metaresearch head score (Gemma)0.015
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 categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.011
Insufficient payload (model declined to judge)0.0010.000

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 head0.162
GPT teacher head0.414
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations6
Published2015
Admission routes3
Has abstractyes

Explore more

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