Quality of Life Indicators: The Objective-Subjective Interrelationship That Exists within One’s ‘Place of Residence’ in Old Age
Bibliographic record
Abstract
Using a largely qualitative research design, this study originally explored how a small cohort of aged clients and human service workers assessed and measured Quality of Life (QOL) amongst older people. A literature review was undertaken and interviews were conducted with participants from Community Vision Incorporated (CVI) and other key informants from separate human service agencies. The findings suggested that there was a dichotomous relationship between the perceived affects that in-home care and aged care facilities had on the QOL of older people. A number of participants suggested that in-home care and aged care facilities were disempowering and overall, impacted negatively on the Objective QOL (O-QOL) and Subjective QOL (S-QOL) of older people. This paper will outline these complexities and further discuss related themes, issues and new insights into the relationship between an older person’s ‘place of residence’ and other O & S-QOL indicators.
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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 | 0.011 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".