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Record W3114081810 · doi:10.1177/1471301220980898

The interplay between leisure, friendship, and dementia

2020· article· en· W3114081810 on OpenAlexafffund
Darla Fortune, Colleen Whyte, M. Rebecca Genoe

Bibliographic record

VenueDementia · 2020
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of ReginaBrock UniversityConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFriendshipDementiaDyadPsychologyDevelopmental psychologySocial psychologyDiseaseMedicine

Abstract

fetched live from OpenAlex

The ways in which friends behave can greatly influence the experience of living with dementia. For example, previous research has highlighted the negative implications that dwindling friendships have on one's leisure engagement after a diagnosis of dementia. In this study, we share findings from a study that highlights the interplay between leisure, friendship, and dementia to demonstrate the complementary relationship that can exist. Specifically, we describe ways friendship can be a bridge to maintaining leisure engagement and how leisure can, in turn, support the maintenance of friendships for individuals with dementia. Data were gathered through individual, dyad, and group interviews conducted with individuals with dementia and their friends and family. Our findings have implications for friends of individuals with dementia who may be searching for ways to support the continuation of mutually enjoyable leisure experiences. Findings also have implications for the ways leisure providers can more fully attend to the relational needs of individuals with dementia in order to help support their continued friendships.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0040.002
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.320
Teacher spread0.292 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2020
Admission routes2
Has abstractyes

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