Young people in residential aged care: Is Australia on track to meet its targets?
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
Abstract Over 4500 people under 65 years of age live in residential aged care (RAC) in Australia, and they experience poorer quality of life than people with similar disabilities in other settings. Governments have long aimed to reduce admissions of young people to RAC, but in 2019, for the first time, the Australian Government adopted target dates for resolving the issue. The targets include reducing admissions of young people to near zero by 2022 and ensuring almost no one remains in RAC beyond 2025. The national strategy focuses mostly on housing and support needs being met via the National Disability Insurance Scheme. The present study drew on quarterly data from the National Aged Care Data Clearinghouse to examine progress toward these targets. Significant progress was evident in terms of young people entering RAC: admissions reduced each quarter between September 2018 and July 2020, halving over two years. No progress was evident in terms of young people leaving RAC for better arrangements; the trend neither increased nor decreased. Prospects for achieving the targets are discussed.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it