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Housing and dementia care - a scoping review of the literature

2005· review· en· W2009332947 on OpenAlexfundno aff
Lisa O’Malley, Karen Croucher

Bibliographic record

VenueHealth & Social Care in the Community · 2005
Typereview
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsnot available
FundersAlzheimer Society
KeywordsDementiaContext (archaeology)Variety (cybernetics)Relation (database)GerontologyAccommodationPsychologyMedicineGeographyComputer science

Abstract

fetched live from OpenAlex

This paper reports the findings of a scoping study designed to describe the evidence base with regard to housing provision for elderly people with dementia with the aim of identifying gaps in existing knowledge. This report from the scoping study findings covers studies of housing and accommodation in relation to dementia that have been published in the UK since the early 1980s, although we draw on limited aspects of overseas research to illuminate issues missing from the UK research agenda. The results reveal a significant number of research gaps in the UK context, most notably in relation to end-of-life care for people with dementia and the effectiveness of integrated and segregated facilities. UK policy regarding the development of extra-care housing also neglects the long-term future of people with dementia. A more robust evidence base will be required, combining a variety of methodological approaches, if UK dementia research is to contribute to future housing policy developments.

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)0.011
metaresearch head score (Gemma)0.032
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 score0.019
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0190.025
Science and technology studies0.0010.001
Scholarly communication0.0040.004
Open science0.0010.002
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 head0.102
GPT teacher head0.461
Teacher spread0.360 · 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

Citations46
Published2005
Admission routes1
Has abstractyes

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