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Record W1970117067 · doi:10.2182/cjot.05.0015

Dementia and Occupation: A Review of the Literature

2006· review· en· W1970117067 on OpenAlexaffvenue
Mary Egan, Sandra Hobson, Virginia G. Fearing

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2006
Typereview
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of British ColumbiaWestern UniversityUniversity of Ottawa
Fundersnot available
KeywordsOccupational therapyDementiaPsychologyIntervention (counseling)MedicineDiseaseClinical psychologyGerontologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Recent evidence supports the usefulness of occupational therapy models, particularly the Occupational Performance Process, in structuring research evidence to inform practice. PURPOSE: In this paper we report the results of our work to identify and summarize quantitative and qualitative research evidence about occupational therapy intervention for individuals with Alzheimer's disease and their caregiver, relevant to the first stage of the Occupational Performance Process, which is to identify, validate and prioritize occupational performance issues. RESULTS: Review of literature from diverse sources deemed to be relevant was summarized under three themes: the experience of occupation among persons with dementia, the experience of occupation among caregivers of persons with dementia, and discussion of occupational performance issues. PRACTICE IMPLICATIONS: Best practice recommendations are made based on this review.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0090.013
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.320
GPT teacher head0.547
Teacher spread0.227 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations35
Published2006
Admission routes2
Has abstractyes

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