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Record W1993504737 · doi:10.1177/1757975909348132

The integration of bio-medicine and culturally based alternative medicine: implications for health care providers and patients

2009· article· en· W1993504737 on OpenAlexaff
Brenda Lovell

Bibliographic record

VenueGlobal Health Promotion · 2009
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineMEDLINEHealth careFamily medicineAlternative medicineNursingPolitical science

Abstract

fetched live from OpenAlex

Complementary and alternative medicine (CAM) are therapies used along with or in place of bio-medicine. Many forms of CAM originate in culture, referred to as culturally based alternative medicines. Usage of CAM is high with large numbers of patients using CAM for mental health, pain and musculoskeletal problems. Their desire for holistic care may be the impetus for this interest, as alternative care practitioners spend more time analyzing illness symptoms. These factors along with the global migration of immigrants accustomed to traditional medicine but now immersed in biomedical health care systems, has created potential for misunderstanding. Drug interactions for some forms of CAM taken with bio-medicine can occur. Insufficient scientific studies about CAM has reduced acceptance and educational opportunities to learn about CAM are limited. Ideas for policy and research are forming.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score0.346

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.062
GPT teacher head0.444
Teacher spread0.382 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2009
Admission routes1
Has abstractyes

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