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Record W2260289391

Physical Activity for Older Aboriginal Adults: A Call for Cultural Safety

2016· article· en· W2260289391 on OpenAlexaffabout
Lauren A. Brooks-Cleator, Audrey R. Giles

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCulturally appropriateCulturally sensitiveGerontologyMedicineCultural safetyQualitative researchPsychologyHealth careSociologySocial psychologyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Society for Exercise Physiology (CSEP) released new PA guidelines for Canadians in 2011, including those for older adults, which communicate the ways in which good health can best be achieved. In this paper, we argue that if we are to have PA guidelines for older adults in Canada, they need to be culturally safe for those who experience disproportionate levels of poor health: Aboriginal older adults. Within this paper, we examine the existing guidelines to determine if they are culturally safe. We show that despite qualitative evidence of the need for culturally safe PA opportunities for Aboriginal peoples, the Canadian PA Guidelines for Older Adults (CSEP, 2012) are not culturally safe for Aboriginal peoples. To address this shortcoming, we use health communication strategies to suggest ways in which the Guide, and in turn other PA resources, could be developed to be culturally safe.

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)0.030
metaresearch head score (Gemma)0.043
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.409
Threshold uncertainty score0.814

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.043
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0160.014
Scholarly communication0.0080.008
Open science0.0030.015
Research integrity0.0100.018
Insufficient payload (model declined to judge)0.0080.001

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 head0.326
GPT teacher head0.642
Teacher spread0.316 · 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
GenreCommentary

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

Citations2
Published2016
Admission routes2
Has abstractyes

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