Correlates of Health-Related Quality of Life for Māori Elders Involved in a Peer Education Intervention
Bibliographic record
Abstract
The purpose of this study was to identify social determinant and communication correlates of health-related quality of life for kaumātua (Māori elders) in New Zealand. A total of 209 kaumātua completed a self-report survey of self-rated health, physical/mental quality of life, spirituality, and a series of questions about social determinants (e.g., factors related to income) and communication variables (e.g., loneliness, social support, cultural identity, and perceived burden/benefit). The survey was baseline data for a peer education intervention to help kaumātua work through life transitions in older age. The main findings of this study were that social determinants, particularly difficulty paying bills, accounted for a small amount of variance in physical/mental quality of life and self-rated health. Further, the communication correlates of loneliness, perceived burden, and desired support accounted for about three times as much variance in these two outcomes all with negative associations. Strength of tribal identity, importance of whānau (extended family), and knowledge of tikanga (customs and protocols) accounted for a moderate amount variance in spirituality with positive associations. These findings have important theoretical and practical implications for positive aging.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".