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Record W3112955179 · doi:10.1002/alz.041883

Exploring opportunities for the integration of traditional healing medicine in the care and prevention of dementia for first nations people from the Wiikwemikoong Unceded Territory on Manitoulin Island in Northern Ontario, Canada

2020· article· en· W3112955179 on OpenAlexaffabout
Hom Lal Shrestha, Karen Pitawanakwat, Joey‐Lynn Wabie, Marion Maar, Jennifer Walker

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsNOSM UniversityFirst Nations Health and Social Secretariat of ManitobaLaurentian University
Fundersnot available
KeywordsDementiaIndigenousMedicineHealth carePopulationBest practiceNursingGerontologyPsychologyPolitical science

Abstract

fetched live from OpenAlex

Abstract Background Traditional healing methods that prioritize the worldviews and knowledge of First Nations people and communities are pivotal and can be integrated throughout the care process in the way that dementia is screened for and diagnosed. The Canadian Indigenous Cognitive Assessment Tool is a culturally safe dementia a screening tool that requires ongoing thoughtful integration of traditional healing medicine practices to be successfully integrated into current health policy and practice across Canada. In Canada, over the next decade, the number of First Nations people over the age of 60 with dementia will increase four‐fold. This is in comparison to a 2.3‐fold increase in the non‐First Nations population. First Nations Elders seek spiritual, emotional, physical, and mental balance in preventing dementia and empowering First Nations people to live healthy lives through traditional healing medicine practices. Access to culturally safe geriatric care and dementia diagnosis among First Nations older adults is a challenge and there is little research aimed at addressing this gap. Within this limited area of research, there is even less research dedicated to how First Nations older adults’ access to traditional medicines, healing, and practices in the prevention and maintenance of dementia care. Within this forum, this presentation will highlight my learning and my passion for this research area. Through a decolonizing research approach, I propose exploring the pathways that will help to fill the gap between traditional healers and health care providers within dementia care and prevention. The primary research question is rooted in First Nations community priorities and asks: “what are the pathways to fill the gap between care providers and traditional healers to integrate traditionally healing medicine practices into dementia care and prevention in Wiikwemkoong Unceded Territory on Manitoulin Island?” Through relationship‐building and close collaboration with the First Nations community members from the Wiikwemikoong Unceded Territory, this work will exemplify how to frame and uncover the missing link between First Nations use of traditional healing medicines and First Nations dementia care within a mainstream medical system by carrying out an exploratory qualitative Indigenous research design and method.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0140.003
Scholarly communication0.0050.002
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.172
GPT teacher head0.296
Teacher spread0.124 · 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 designQualitative
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
Published2020
Admission routes2
Has abstractyes

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