Whānau Ora; He Whakaaro Ā Whānau: Māori Family Views of Family Wellbeing
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".