MétaCan
Menu
Back to cohort
Record W4297721772 · doi:10.14740/jnr713

Urban Indigenous Experiences of Living With Early-Onset Dementia: A Qualitative Study in Calgary, Alberta, Canada

2022· article· en· W4297721772 on OpenAlexaffvenueabout
Meagan Ody, Cathryn Rodrigues, Parkash Banwait, Lynden Crowshoe, Rita K. Henderson, Elaine Boyling, Cheryl Barnabé, Pamela Roach

Bibliographic record

VenueJournal of Neurology Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsThrivingIndigenousDementiaQualitative researchIndigenous cultureMedicineGerontologyNursingPsychologySociologyDiseaseSocial sciencePsychotherapist

Abstract

fetched live from OpenAlex

Background: The aim of the study was to build understanding about the lived urban Indigenous experiences of early-onset dementia (EOD) to inform health services planning. Methods: A phenomenological qualitative pilot study completed with a total of five participants recruited and interviewed for 30 - 60 min. Interviews were transcribed using NVivo12 software and thematically coded with a multi-step process. Results: Four overarching themes were identified: urban Indigenous understandings of living with EOD, Indigenous family experiences of adjusting to EOD, western approaches to healing and thriving with EOD, and Indigenous ways of healing and thriving with EOD. Conclusions: The findings of this project provide better understandings of urban Indigenous experiences of EOD and also dementia more broadly. Through a better understanding of the Indigenous experiences of dementia, urban healthcare providers can be more aware of the needs of urban Indigenous people living with dementia, and specifically EOD, and may face and plan to co-design health services accordingly. J Neurol Res. 2022;12(2):69-75 doi: https://doi.org/10.14740/jnr713

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.399
Teacher spread0.356 · 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 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

Citations3
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Neurology ResearchSame topicIndigenous Health, Education, and RightsFrench-language works237,207