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Record W2099828053 · doi:10.1177/1074840705285382

Family Strategies for Supporting Involvement in Meaningful Activity by Persons With Dementia

2006· article· en· W2099828053 on OpenAlexaff
Alison Phinney

Bibliographic record

VenueJournal of Family Nursing · 2006
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsDementiaMeaning (existential)Everyday lifePsychologyPhenomenonFamily memberDevelopmental psychologyLived experienceGerontologySocial psychologyMedicinePsychotherapistDiseaseEpistemologyFamily medicine

Abstract

fetched live from OpenAlex

Involvement in meaningful activity may be helpful for those with dementia, although it is a poorly understood phenomenon among those living in the community with family members. An interpretive phenomenological study was conducted with eight families to determine how family members support involvement in activity of persons with dementia and what it means to families. Repeated individual interviews were conducted with the person with dementia and a family member; they were asked to tell stories about their usual activities, to consider the impact of the dementia on everyday life and what they did to cope with difficulties. They were also observed taking part in everyday activities. Analysis revealed three strategies used by families to support activity: (a) reducing demands, (b) guiding, and (c) accompanying. These strategies allowed families to sustain meaning for both the person with dementia and the family itself. Significance for practice and ideas for future research are discussed.

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)0.004
metaresearch head score (Gemma)0.008
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 score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0050.004
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0020.001
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 head0.052
GPT teacher head0.384
Teacher spread0.332 · 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

Citations97
Published2006
Admission routes1
Has abstractyes

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