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Record W2108185929 · doi:10.1353/pbm.2005.0084

Evidence-Based Alternative Medicine?

2005· article· en· W2108185929 on OpenAlexaff
Kirstin Borgerson

Bibliographic record

VenuePerspectives in biology and medicine · 2005
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEvidence-based medicineMainstreamAlternative medicineWarrantMedicineRandomized controlled trialMEDLINEHierarchyMedical educationEngineering ethicsPolitical scienceSurgeryLawPathology

Abstract

fetched live from OpenAlex

The validity of evidence-based medicine (EBM) is the subject of ongoing controversy. The EBM movement has proposed a "hierarchy of evidence," according to which randomized controlled trials (RCTs) and meta-analyses of RCTs provide the most reliable evidence concerning the efficacy of medical interventions. The evaluation of alternative medicine therapies highlights problems with the EBM hierarchy. Alternative medical researchers-like those in mainstream medicine-wish to evaluate their therapies using methods that are rigorous and that are consistent with their philosophies of medicine and healing. These investigators have three ways to relate their work to EBM. They can accept the EBM hierarchy and carry out RCTs when possible; they can accept the EBM standards but argue that the special characteristics of alternative medicine warrant the acceptance of "lower" forms of evidence; or they can challenge the EBM approach and work to develop new research designs and new standards of evidence that reflect their approach to medical care. For several reasons, this last option is preferable. First, it will best meet the needs of alternative medicine practitioners. Moreover, because similar problems beset the evaluation of mainstream medical therapies, reevaluation of standards of evidence will benefit everyone in the medical community--including, most importantly, patients.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.137
GPT teacher head0.454
Teacher spread0.317 · 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 teacher head, not a consensus.

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

Citations52
Published2005
Admission routes1
Has abstractyes

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