Losing Ground during COVID-19: Dementia Caregivers’ Shifting Perceptions of Place
Bibliographic record
Abstract
In the wake of COVID-19, Canadian federal and provincial governments implemented gathering restrictions to prevent or limit its spread. These restrictions significantly impacted where Canadians spend their time, how they do so and with whom. Prior to the pandemic, people living with dementia (PLWD) and the family members, friends, and neighbours who support their care already encountered physical, health, and social challenges relating to participation in private and public places. Under pandemic conditions, these challenges were magnified and contributed to differences in the ways community was understood and practiced. A rapid research project in the province of Nova Scotia, Canada, exploring COVID-19-related changes to community-based dementia care supports and services highlighted changes toward places of residence, public places, and virtual settings through interviews with unpaid caregivers of PLWD. Findings demonstrated a shift in activities and experiences associated with places during COVID-19 restrictions and lockdown measures. From what home means to community places and virtual places, this article considers the ways in which COVID-19 restrictions and measures are redefining the meanings and significance of places for unpaid caregivers of PLWD in the province of Nova Scotia in Atlantic Canada.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".