Profile of ethnicity, living arrangements and loneliness amongst older adults in Aotearoa New Zealand: A national cross‐sectional study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: To explore the patterns of living arrangements, ethnicity and loneliness amongst older adults (aged 65+ years) living at home. METHODS: National interRAI-HC (International Residential Assessment Instrument-Home Care) assessments conducted between 1 September 2012 and 31 January 2016 were analysed. Analysis focused on the associations between loneliness and both ethnic groups and living arrangements. RESULTS: There were 71 859 eligible participants, with average age 82.7 years, comprising Māori (5%), Pasifika (3%), Asian (2%) and European/Other (89%) ethnic identification. Most stated that they were not lonely (79%), but those living alone were more likely to be lonely (29%) than those living with others (14%) (P < 0.05). Amongst those living alone, significant differences in the likelihood of being lonely emerged between ethnic groups (P < 0.05). CONCLUSIONS: Ethnic identification and living arrangements were significantly associated with the likelihood of loneliness for those having an interRAI-HC assessment. Efforts to reduce the negative impacts of loneliness need a nuanced approach.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it