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Record W2409795225

Patterns of use--alternative health care practitioners.

2001· article· en· W2409795225 on OpenAlexaffabout
Millar Wj

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsOddsDescriptive statisticsMedicineLogistic regressionHealth carePopulation healthFamily medicinePopulationCross-sectional studyEnvironmental healthStatistics
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: This article examines consultations with alternative practitioners and the characteristics of people who use such care. DATA SOURCE: The data are from the longitudinal (1994/95 to 1998/99) and cross-sectional (1998/99) household components of Statistics Canada's National Population Health Survey (NPHS). ANALYTICAL TECHNIQUES: Descriptive information about the use of alternative practitioners is presented. Logistic regression is used to compare the odds of consulting alternative practitioners while controlling for a number of related factors. MAIN RESULTS: In 1998/99, about 3.8 million people reported having used the services of an alternative practitioner. Relatively high percentages of women, 25- to 64-year-olds, and people in the Western provinces reported seeking alternative care. When related factors, including chronic pain, were taken into account, asthma and back problems were significantly associated with alternative practitioner use.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.087
GPT teacher head0.339
Teacher spread0.252 · 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 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

Citations84
Published2001
Admission routes2
Has abstractyes

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