Dementia Home Care Resources: How Are We Managing?
Bibliographic record
Abstract
With the number of people living with dementia expected to more than double within the next 25 years, the demand for dementia home care services will increase. In this critical ethnographic study, we drew upon interview and participant data with persons with dementia, family caregivers, in-home providers, and case managers in nine dementia care networks to examine the management of dementia home care resources. Three interrelated, dialectical themes were identified: (1) finite formal care-inexhaustible familial care, (2) accessible resources rhetoric-Iinaccessible resources reality, and (3) diminishing care resources-increasing care needs. The development of policies and practices that provide available, accessible, and appropriate resources, ensuring equitable, not necessarily equal, distribution of dementia care resources is required if we are to meet the goal of aging in place now and in the future.
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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 | 0.017 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.022 |
| Scholarly communication | 0.024 | 0.037 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.008 | 0.012 |
| 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".