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Record W2029030260 · doi:10.1080/j148v25n01_05

Occupational Engagement and Adaptation in Adults with Dementia: A Preliminary Investigation

2006· article· en· W2029030260 on OpenAlexaffabout
Melissa Lee, Vikki Madden, Kate Mason, Jennifer Wyburd, Sandra Hobson

Bibliographic record

VenuePhysical & Occupational Therapy In Geriatrics · 2006
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWestern University
Fundersnot available
KeywordsOccupational therapyPsychologyOccupational scienceDementiaAdaptation (eye)Medical educationGerontologyClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

This qualitative study examined the occupations of individuals with dementia, the motives they have for this engagement, and the occupational adaptation they make in response to their memory difficulties. Eight individuals with memory difficulties and their caregivers participated in in-depth, semi-structured interviews. The types of activities that individuals with memory difficulties do and stopped doing were described, as well as their motives for doing or stopping. The findings show that caregivers initiated most of the activities. Several participants exhibited defensiveness around various occupations. In addition, participants and caregivers indicated that they perform many occupations together. The results indicate individuals with memory difficulties do find purpose in occupational engagement and find ways to adapt occupations. Occupational therapists ought to facilitate meaningful occupations when working with individuals with memory difficulties.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0050.003
Scholarly communication0.0020.002
Open science0.0010.004
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 head0.103
GPT teacher head0.413
Teacher spread0.309 · 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 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

Citations10
Published2006
Admission routes2
Has abstractyes

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