MétaCan
Menu
Back to cohort
Record W4403341051 · doi:10.1017/s0144686x24000448

Love, support and structural holes: Māori whānau carer experiences in collective family care systems

2024· article· en· W4403341051 on OpenAlexaff
Mary Simpson, Kirstie McAllum, Stéphanie Fox, Christine Unson, Te Oha Hancock

Bibliographic record

VenueAgeing and Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNursingPsychologySociologyMedicine

Abstract

fetched live from OpenAlex

Abstract As the population of Aotearoa New Zealand ages, informal family carers will play an increasingly important role in caring for older adults at home. Multi-generational living arrangements are a growing trend, particularly among Māori communities, where caring for older relatives within the family home is widespread. This article uses in-depth, semi-structured interviews with Māori whānau (extended family members) caring for kaumātua (older family members) at home to explore how carers experienced care coordination in the broader care collective. The findings centred on three interconnected factors that described the collective organisation of care: (1) whānau care as normal; (2) whānau care as collective coordination; and (3) whānau carer knowledge and needs as unseen. The findings show that although whānau care of kaumātua is highly valued, ‘structural holes’ within care systems contribute to challenges in care coordination. Despite extensive whānau support for kaumātua , primary carers often felt that their knowledge, preferences and self-care needs remained unseen and not translatable to those outside the everyday care situation. Rather than assuming an artificial binary difference between ‘collective’ and ‘individually oriented’ care contexts and cultures, analysing the cultural norms surrounding whānau care-giving confirms that collective care system members face similar and different challenges to carers with smaller caring capacities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.481

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 studies0.0000.000
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 head0.010
GPT teacher head0.273
Teacher spread0.262 · 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.

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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAgeing and SocietySame topicIntergenerational Family Dynamics and CaregivingFrench-language works237,207