Navigating Older Adult Care: A Stakeholders and Systems Perspective
Bibliographic record
Abstract
In the next few decades, our aging population will place an unprecedented demand for home and community care supports and healthcare resources. Members of the baby boom cohort will reach 65 years of age in the next ten years, and older seniors, those 80 years plus, will increase rapidly between 2026 and 2045. This research considers how we might better prepare and meet the needs of a growing older adult population by asking: 1) what community-based alternatives for older adult care exist, 2) what might promote health and wellbeing among older adults, and 3) how do we create resilience in the healthcare system. This project applied qualitative research and design methods to illustrate stakeholder perspectives and experiences of older adult care and various system inputs and enablers. Findings indicate a desire for alternative models of care that leverage the strengths of both government and community, that represent values of respect and dignity, and that enable the needs and preferences of older adults to be met regardless of residential, social and economic differences.
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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 | 0.010 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".