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Record W302195926

Developing a community-based educational program for older persons

2001· article· en· W302195926 on OpenAlexaboutno aff
Brian J Gleberzon

Bibliographic record

VenuePubMed Central · 2001
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsChiropracticChristian ministryMedicineAlternative medicineFamily medicineGerontologyPrimary careMedical educationPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

Chiropractic pedagogy is recognizing the importance of community-based education. This article describes the manner in which a series of community-based presentations were developed, specifically targeting the elderly. With support from both the Ontario Ministry of Health and the Ontario Chiropractic Association, presentations were developed that primarily addressed the three areas of greatest concern to older persons: osteoporosis, osteoarthritis and injury prevention. The primary objectives of the presentations were to dispel any myths that older persons may have had about osteoporosis and osteoarthritis, and to suggest ways to safety-proof their homes. Additional topics discussed were exercise, nutrition and the role of chiropractic in geriatric health care. Twenty-five presentations were conducted at twelve different community centers. Presentations were conducted by chiropractic interns. The results of pre and post-surveys suggest that the primary objectives of the program were successfully met.

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)0.003
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.074
GPT teacher head0.343
Teacher spread0.269 · 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

Citations4
Published2001
Admission routes1
Has abstractyes

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