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Record W2395484077 · doi:10.1186/s12906-016-1111-3

Making sense of “alternative”, “complementary”, “unconventional” and “integrative” medicine: exploring the terms and meanings through a textual analysis

2016· article· en· W2395484077 on OpenAlexafffund
Jeremy Y. Ng, Heather Boon, Alison Thompson, Cynthia Whitehead

Bibliographic record

VenueBMC Complementary and Alternative Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsWomen's College HospitalUniversity of Toronto
FundersUniversity of Toronto
KeywordsAlternative medicineScopusIntegrative medicineMedicineHealth carePluralism (philosophy)MEDLINEAllopathic medicineEvidence-based medicineComplementary medicineTraditional medicineEpistemologyLawPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Medical pluralism has flourished throughout the Western world in spite of efforts to legitimize Western biomedical healthcare as "conventional medicine" and thereby relegate all non-physician-related forms of healthcare to an "other" category. These "other" practitioners have been referred to as "unconventional", "alternative" and "complementary", among other terms throughout the past half century. METHODS: This study investigates the discourses surrounding the changes in the terms, and their meanings, used to describe unconventional medicine in North America. Terms identified by the literature as synonymous to unconventional medicine were searched using the Scopus database. A textual analysis following the method described by Kripendorff 2013 was subsequently performed on the five most highly-cited unconventional medicine-related peer-reviewed literature published between 1970 and 2013. RESULTS: Five commonly-used, unconventional medicine-related terms were identified. Authors using "complementary and alternative", "complementary", "alternative", or "unconventional" tended to define them by what they are not (e.g., therapies not taught/used in conventional medicine, therapy demands not met by conventional medicine, and therapies that lack research on safety, efficacy and effectiveness). Authors defined "integrated/integrative" medicine by what it is (e.g., a new model of healthcare, the combining of both conventional and unconventional therapies, accounting for the whole person, and preventative maintenance of health). Authors who defined terms by "what is not" stressed that the purpose of conducting research in this area was solely to create knowledge. Comparatively, authors who defined terms by "what is" sought to advocate for the evidence-based combination of unconventional and conventional medicines. Both author groups used scientific rhetoric to define unconventional medical practices. CONCLUSIONS: This emergence of two groups of authors who used two different sets of terms to refer to the concept of "unconventional medicine" may explain why some journals, practitioner associations and research/practice centres may choose to use both "what is not" and "what is" terms in their discourse to attract interest from both groups. Since each of the two groups of terms (and authors who use them) has different meanings and goals, the evolution of this discourse will continue to be an interesting phenomenon to explore in the future.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0160.020
Science and technology studies0.0040.011
Scholarly communication0.0060.010
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.195
GPT teacher head0.387
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations133
Published2016
Admission routes2
Has abstractyes

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