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Record W4294948794 · doi:10.1177/26323524221118590

Māori elders’ perspectives of end-of-life family care: <i>whānau</i> carers as knowledge holders, weavers, and navigators

2022· article· en· W4294948794 on OpenAlexaff
Mary Simpson, Kirstie McAllum, John Oetzel, Kay Berryman, Rangimahora Reddy

Bibliographic record

VenuePalliative Care and Social Practice · 2022
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversité de Montréal
FundersMinistry of Health
KeywordsNursingGerontologyPsychologyMedicine

Abstract

fetched live from OpenAlex

Background: There is growing interest in palliative care within Indigenous communities, and within Aotearoa New Zealand, of the significant role that Māori (Indigenous people) families play in caring for older relatives. This study explored the centrality of culture in how Māori extended families ( whānau) in Aotearoa New Zealand interpret and enact family-based care roles within the Māori world ( Te Ao Māori). Methods: Applying Māori-centered and community-based participatory research principles, we examined 17 interviews with older Māori who shared experiences of palliative care for a partner or family member. The thematic analysis used a cultural-discursive framework incorporating Māori principles of wellbeing and values expressed within the care relationship. Results: The findings centered on three whānau roles in palliative care: whānau as (1) Holders and protectors of Māori knowledge; (2) Weavers of spiritual connection; and (3) Navigators in different worlds. Conclusion: The study problematizes the notion of a single ‘primary caregiver’, privileges whānau as an inter-woven relational, dynamic care network, and encourages health professionals to recognize the cultural embeddedness of dominant approaches to palliative care.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.046
GPT teacher head0.390
Teacher spread0.344 · 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

Citations8
Published2022
Admission routes1
Has abstractyes

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