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‘Without my faith I would break into pieces.’ Supporting elder family members: Implications for social work policy and practice

2010· article· en· W2103444147 on OpenAlexaff
Judy Wivell, Diane Mara

Bibliographic record

VenueAotearoa New Zealand Social Work · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicResearch in Social Sciences
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsAotearoaSocial workDiversity (politics)Public relationsSociologyFaithGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

This collaborative project records the voices of family/whanau members most closely involved with the responsibility for support of elder parents or family members. Members of the research team are from two different cultural backgrounds and have worked within and across both cultural paradigms investigating Pakeha/European and Pasifika family/fanau structures. The small-scale study sought to identify patterns of similarity and difference in approaches to family decision-making, how families access appropriate social services, and what changes occur in family dynamics as they respond to elder family members’ needs. This research has required engagement with members of diverse communities about an often invisible aspect of family life in Aotearoa New Zealand. The support of elders by adult children is expected to become more prevalent across communities with the aging of the population and the widening cultural diversity of families. Key themes emerging from the participants’ reported experiences have the potential to inform social service practice and social policy and these are highlighted.

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)0.069
metaresearch head score (Gemma)0.072
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: none
Teacher disagreement score0.069
Threshold uncertainty score0.363

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0690.072
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0310.037
Scholarly communication0.0180.025
Open science0.0050.017
Research integrity0.0120.012
Insufficient payload (model declined to judge)0.0120.002

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 head0.055
GPT teacher head0.429
Teacher spread0.375 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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