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Record W2599561947 · doi:10.1177/1471301217699677

‘We have different routes for different reasons’: Exploring the purpose of walks for carers of people with dementia

2017· article· en· W2599561947 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDementia · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Ottawa
FundersAlzheimer Society Research ProgramAlzheimer Society
KeywordsDementiaCitizenshipPsychologyPerspective (graphical)Neighbourhood (mathematics)Everyday lifeSocial citizenshipSociologySocial psychologyGerontologyMedicineDiseaseEpistemologyPolitical sciencePolitics

Abstract

fetched live from OpenAlex

This paper explores the purpose of walks for co-residing carers of people with dementia, using a social citizenship lens. The findings are based on the first phase of a study examining the everyday experiences of place, space, and neighbourhood of dementia carers. Using three forms of data collection - social network mapping, walking interviews, and participant-driven photography - the study brings forth information about why carers go on walks either alone or with the person with dementia. Carers explained that walks facilitate their connections with themselves, the person with dementia, their social environment, and their natural and built environment. In sum, walks provide a way of practicing and sustaining social citizenship. Carers' discourse about walks highlights their personal, everyday practices and strategies, as well as the larger tensions and contradictions of dementia care. The findings reinforce the need to bring into dialogue, from a carer perspective, a social citizenship model of dementia with the growing interest in dementia-friendly 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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.522
GPT teacher head0.547
Teacher spread0.025 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it