Living with dementia during COVID-19: a participatory examination of suburban neighbourhood access and place
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
The World Health Organization identifies dementia as the leading cause of dependency and disability among older adults. Nearly 2/3 of people living with dementia in Canada live in community. Continued access to neighbourhoods and amenities has many benefits: improved mental/physical health, more social interaction, and sense of worth and dignity. The COVID-19 pandemic has altered our access to amenities, physical activity levels and social interactions, and it is more acute for people living with dementia – increased rates of social isolation, fear, and anxiety due to closure of social programs/activities, and interruptions in daily routines and social networks. COVID-19 has also disproportionately impacted our socio-spatial peripheries, prompting pleas to study the pandemic from these locations instead of city centres. This exploratory case study examines the mobility and socio-spatial caring relations of four community-dwelling people living with dementia in Oshawa, Canada (a suburban municipality east of Toronto) during the pandemic to understand wellbeing impacts, using multiple participatory methods. This paper documents their experiences, including changes in mobility practices/destinations, built/social environment barriers, impacts of pandemic restrictions on wellbeing and everyday practices, concern for/caring about others. We end with recommendations for land use, transportation, parks, and emergency planners and community program providers to build more dementia-inclusive communities.
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 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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