Adult day centre respite care: research design of a study to assess the efficacy of caregiver respite
Bibliographic record
Abstract
Persons diagnosed with dementia have been recognized as a client group within Northern Health that requires specialized care. Care is currently provided through long-term care case management, residential complex care and assisted living, home support, adult day centres, in-home and facility respite, and in the client's home by family members and private caregivers. With an aging population predictive of an increased number of dementia clients, Northern Health recognizes that the current methods of providing care may not be sufficient to sustain clients and caregivers in the future. This project designs a study that examines the effects of respite care for dementia clients on the burden felt by their caregivers. It is hypothesized that mean scores of caregiver burden reported by primary informal caregivers of dementia clients, as measured by the Zarit Burden Interview, will be lower for members of the treatment group (consisting of caregivers utilizing the respite services of the Rainbow Adult Day Centre) than for members of the control group (consisting of caregivers who are not utilizing the respite services of the Rainbow Adult Day Centre).
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.
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 | 0.017 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".