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Record W4386663621 · doi:10.54434/candj.74

The Emerging Role of Naturopathic Medical Care in Health Promotion and Aging

2021· article· en· W4386663621 on OpenAlexvenueaboutno aff
Erika Buckley-Strobel

Bibliographic record

VenueCAND Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNaturopathyHealth promotionHealth careGovernment (linguistics)MedicinePopulation healthPromotion (chess)Argument (complex analysis)Population ageingPopulationCommunity healthNursingAlternative medicineGerontologyFamily medicinePublic healthEnvironmental healthEconomic growthPolitical science

Abstract

fetched live from OpenAlex

The numbers of seniors as a proportion of the Canadian population has never been higher. This has created strain on provincial health care budgets across Canada, as rates of patients with chronic diseases and complex needs continues to rise. Given these challenges, the need for a collaborative and health-promotion focused model for seniors' health care has never been more urgent. There is a strong argument to be made that naturopathic doctors (NDs) are ideally suited to fill this gap, because of their unique training and philosophies of care, and should be funded in a community health model. The benefits of this solution are: for ND clinicians, greatly expanded practice opportunities; for communities, that seniors will increasingly be able to age in place successfully; and for government, that cost savings will accrue to provincial health budgets from decreased chronic disease burden and demands for hospital and long-term based care.

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)0.008
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.327
Threshold uncertainty score0.649

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.008
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.018
GPT teacher head0.347
Teacher spread0.329 · 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 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
Published2021
Admission routes2
Has abstractyes

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