Innovative care: Using ‘A day in the life’ as a tool to explore opportunities for a tech-enabled home for older Canadians
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
Caregivers play a crucial role in providing physical and emotional support to family members or clients with various health conditions. As the number of older adult population and the potential need for caregiver support increases, innovative solutions are essential in supplementing care provided by caregivers. Many studies have been conducted to date to understand the extent to which technologies can be used to address health conditions and disabilities. Assured Living is a wellness monitoring solution by Best Buy Canada designed to provide caregivers insights on family member’s daily activities and provide alerts. To bring Assured Living into the Canadian market, an A Day in the Life was created as a tool to aid in identifying the needs of the caregivers to explore opportunities in the Canadian market. The knowledge for the A Day in the Life was gathered in multiple ways: 1) meetings with health organizations, 2) meetings with organizations serving caregivers and seniors, 3) conversations with family caregivers, 4) observations during walk-throughs with internal and external stakeholders of the Assured Living lab located in Best Buy Canada headquarters. Five themes gathered from the tool include: 1) Safety 2) Activities of daily living 3) Virtual care 4) Enjoyment of life and 5) Overarching concerns about support and communication. A Day in the Life supported in determining general concerns for caregivers, identifying areas of opportunity for the business, and making collaboration with stakeholders effective.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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