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Record W2217955116 · doi:10.12688/f1000research.6707.1

Naturopathic medicine:  Nine parts negative, one part positive

2015· preprint· en· W2217955116 on OpenAlexaff
Norman J. Temple

Bibliographic record

VenueF1000Research · 2015
Typepreprint
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsAthabasca University
Fundersnot available
KeywordsNaturopathyHomeopathyAcupunctureAlternative medicineTraditional medicineMedicineConventional medicine

Abstract

fetched live from OpenAlex

<ns4:p>Naturopathic medicine, also known as naturopathy, is a type of complementary and alternative medicine. It appeals to many people, especially those who desire a “holistic” approach to both prevention and treatment. While there is much variation in the types of treatment used by different naturopaths, commonly used ones include acupuncture, herbalism, and homeopathy. These types of treatment often lack sound supporting evidence of efficacy. But at the same time naturopaths are often hostile to conventional drugs, even those that are of proven effectiveness and pose little risk of harmful side effects. Many naturopaths employ treatments, such as diet, herbs, fasting, and colonic irrigation that are claimed to “detoxify” the body and thereby lead to improved health. There is a complete absence of supporting evidence for this type of therapy. Some aspects of the theories and practices employed by naturopaths are well supported by the evidence. In particular, the emphasis that naturopaths place on leading a healthy lifestyle so as to prevent disease is entirely consistent with modern concepts in this area. Overall, the positive aspects of naturopathy are greatly outweighed by the negative aspects.</ns4:p>

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.220
GPT teacher head0.442
Teacher spread0.223 · 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 designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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