MétaCan
Menu
Back to cohort
Record W175875598 · doi:10.18584/iipj.2014.5.1.1

Whānau Ora; He Whakaaro Ā Whānau: Māori Family Views of Family Wellbeing

2014· article· en· W175875598 on OpenAlexvenueno aff
Amohia Boulton, Heather Gifford

Bibliographic record

VenueInternational Indigenous Policy Journal · 2014
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological resilienceGovernment (linguistics)SociologyNursingPsychologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

This article presents the findings from two studies that investigated the concept of whānau ora (family wellbeing): One examined the nature of resilience for Māori whānau and how resilience relates to whānau ora; while the second investigated the impact of the Working for Families policy on Māori families’ perceptions of whānau ora. In each study, Māori were asked to define whānau ora for their family. The responses to the “whānau ora” definition question in each of the studies were separated out to derive a unique dataset of 46 whānau definitions of whānau ora. A secondary analysis of responses was undertaken specifically for this article and these were compared to the whānau ora outcome definition outlined in the Report of the Taskforce on Whānau-Centred Initiatives (Taskforce on Whānau-Centred Initiatives, 2010). The degree of concordance between the definitions of whānau ora expressed by Māori families and those espoused by the government’s Taskforce is outlined. The article discusses the variability in understandings around whānau ora and the implications of our analysis for social service delivery and social policy development.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.051
GPT teacher head0.429
Teacher spread0.378 · 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 designNot applicable
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

Citations21
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Indigenous Policy JournalSame topicResilience and Mental HealthFrench-language works237,207