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Record W2147214723 · doi:10.1177/1533317515576389

Meaningful Activity for Persons With Dementia

2015· article· en· W2147214723 on OpenAlexafffund
Kaitlyn P. Roland, Neena L. Chappell

Bibliographic record

VenueAmerican Journal of Alzheimer s Disease & Other Dementias® · 2015
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Victoria
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsRespite careDementiaSocial connectednessPsychologyGerontologyActivities of daily livingDiseaseMedicineNursingPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Dementia threatens the capacity to engage in activity, suggesting meaningful activity may be helpful for persons with dementia (PWDs). This study explores the concept of meaningful activity, as defined by caregivers of PWDs. Family caregivers of PWDs, who provide 3 hours of care over 3 days/week, were interviewed after 6 months of cholinesterase inhibitors (ChEIs) therapy. Caregiver responses (N = 906) to the open-ended question What do you believe getting involved in activities outside the home means for someone with dementia are assessed. The themes are analyzed in terms of content, frequency, co-occurrence, and dementia severity. Caregivers emphasize the benefits of social connectedness, physical health, and mental stimulation. Activity is also viewed as respite, difficult, and has no meaning for care recipient. The implications of activity for self- and social-identity in PWD and caregiver are discussed. The benefits of activity varied by stage of disease. This knowledge indicates areas for improved activity provision and health care support.

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 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)0.001
metaresearch head score (Gemma)0.000
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 score0.111
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.040
GPT teacher head0.330
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations72
Published2015
Admission routes2
Has abstractyes

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