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Record W3212449560 · doi:10.54434/candj.73

Leading the Way in Naturopathic Gerontology: Current Status and Future Possibilities

2021· article· en· W3212449560 on OpenAlexaffvenueabout
Erika Buckley-Strobel, Romi Fung

Bibliographic record

VenueCAND Journal · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsRichmond Hospital
Fundersnot available
KeywordsNaturopathyCurrent (fluid)GerontologyMedicineAlternative medicineEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

his educational void started with the lack of training in and exposure to seniors' health topics at the naturopathic medical school level, and it is our understanding that this still has not changed. For leaders in naturopathic gerontology to emerge, it requires exposure to this field within the core curriculum of the naturopathic educational program. In reviewing the curriculum of the Canadian naturopathic colleges there was a lack of content related to geriatrics, gerontology or seniors' health. The Canadian College of Naturopathic Medicine (CCNM) does not include geriatrics/ gerontology as part of the core curriculum. 1 When questioned about this deficit, we were informed that although geriatric topics are currently infused in many of the courses, there is no course that focuses on geriatrics specifically. 2 However, the core and/or elective curriculum does include such special topics as: pregnancy, labour and newborn care; pediatrics; emergency medicine; mental health; and sexual and reproductive health.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.064
GPT teacher head0.446
Teacher spread0.381 · 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

Citations0
Published2021
Admission routes3
Has abstractyes

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