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Record W2988301862 · doi:10.1186/s40945-019-0064-5

The “subluxation” issue: an analysis of chiropractic clinic websites

2019· article· en· W2988301862 on OpenAlexafffundabout
Alessandro R Marcon, Blake Murdoch, Timothy Caulfield

Bibliographic record

VenueArchives of Physiotherapy · 2019
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversity of Alberta
FundersUniversity of AlbertaAlberta InnovatesWomen and Children's Health Research InstituteChildren's Health Research Institute
KeywordsChiropracticSubluxationMedicineDemographicsAlternative medicineFamily medicineSociologyPathologyDemography

Abstract

fetched live from OpenAlex

BACKGROUND: Vertebral subluxation theories are controversial in chiropractic. Divisions are evident in the chiropractic community among those who align their practices to subluxation theories and those who do not. This study investigated how many clinics offering chiropractic in the Canadian province of Alberta promote a theory of subluxation, which health ailments or improvements were linked to subluxation, and whether the subluxation discourse was used to promote chiropractic for particular demographics. METHODS: Using the search engine on the Canadian Chiropractic Associations' website, we made a list of all clinics in Alberta. We then used Google searches to obtain a URL for each clinic with a website, totalling 324 URLs for 369 clinics. We then searched on each website for "subluxation" and performed content analysis on the related content. RESULTS: One hundred twenty-one clinics' websites (33%) presented a theory of vertebral subluxation. The health ailments and improvements discussed in relation to subluxation were wide-ranging. An observed trend was the marketing of chiropractic for children, which was observed on 29 clinic websites (8%). CONCLUSIONS: Based on the controversy surrounding vertebral subluxation, the substantial number of clinic websites aligning their practice with vertebral subluxation should cause concern for regulatory bodies.

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 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 score0.129
Threshold uncertainty score1.000

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)0.0010.000

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 head0.016
GPT teacher head0.366
Teacher spread0.349 · 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

Citations17
Published2019
Admission routes3
Has abstractyes

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