OUT AND ABOUT? PARTICIPATION IN OUT-OF-HOME ACTIVITIES AND PLACES AMONG PEOPLE WITH DEMENTIA IN MULTIPLE COUNTRIES
Bibliographic record
Abstract
Abstract Maintaining participation in activities and places in the community can be challenging for people with dementia in the face of cognitive decline. These challenges could be related to driving cessation, accessing transit, ability to navigate in the community, socially uncomfortable situations and functionally difficult tasks. Consequently, people with dementia are at risk of progressively becoming isolated from the community and being unable to meaningfully age-in-place in the home and community. Familiar and responsive neighborhood built environmental features, public awareness of dementia and appropriate support, dementia-friendly transit systems, are among the potential socio-physical environmental factors to foster maintenance of participation and activities for persons living with dementia. Empirical literature exploring levels of participation outside the home, wayfinding and orientation issues, and the nature and prevalence of challenging circumstances for older adults with dementia in the community is scarce. This session will present four papers in this area based on empirical projects conducted in Sweden, Switzerland, U.K. and Canada. Three of these projects used the recently developed Participation in ACTivities and Places OUTside the Home (ACT-OUT) questionnaire to generate evidence on the levels of participation and perceptions of risks outside the home for people with and without dementia. A presentation will also summarize the theoretical bases for the ACT-OUT research discussed in the other presentations. One study will focus on the influence of Everyday Technology on participation patterns. Implications of the research findings to advance theoretical understanding, generate evidence-base and impact policy and practice, along with future research directions will be considered.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".