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Record W1994550942 · doi:10.2202/1553-3840.1006

Developing a National Vision for Complementary and Alternative Medicine in Undergraduate Medical Education: Report on an Invitational Workshop

2005· article· en· W1994550942 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Complementary and Integrative Medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of SaskatchewanUniversity of Calgary
Fundersnot available
KeywordsNaturopathyCurriculumMedical educationChiropracticAlternative medicineHomeopathyMedicinePsychologyPedagogy

Abstract

fetched live from OpenAlex

The increasing use of Complementary and Alternative Medicine (CAM) among Canadians has led to exploring the potential role of CAM in undergraduate medical education (UME). As part of a multi-phased project to begin developing CAM curriculum for UME, representatives of 14 Canadian medical schools attended a two day workshop in September 2003 in Saskatoon, SK. Workshop outcomes included developing (1) a rationale for CAM in UME, (2) draft student learning objectives, (3) a list of potential CAM curriculum topics, and (4) a list of factors affecting curriculum implementation. Much of the discussions centred on what Canada’s future physicians need to know about CAM. Broad curricular categories included (1) general CAM topics (e.g., definitions, utilization, reasons for use, evidence, implications for practice, bridging paradigms), and (2) specific CAM products and practices. The top rated practice areas for physicians to know about were Natural Health Products, Traditional Chinese Medicine, chiropractic, naturopathy and homeopathy. Participants identified that for each of these practices/products a descriptive overview, information about evidence, safety and regulation, and clinical implications needs to be discussed. Using the workshop recommendations as a foundation, the CAM in UME project team continues to develop a national, consensus-based CAM curriculum for Canadian medical schools.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.091
GPT teacher head0.459
Teacher spread0.368 · 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