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Record W1991117668 · doi:10.1177/1471301211421189

Informal social interaction among residents with dementia in special care units: Exploring the role of the physical and social environments

2011· article· en· W1991117668 on OpenAlexaff
Michael Campo, Habib Chaudhury

Bibliographic record

VenueDementia · 2011
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsDementiaPsychologySocial relationEthnographyQualitative researchQuality of life (healthcare)GerontologySocial psychologyNursingApplied psychologySociologyMedicinePsychotherapistDisease

Abstract

fetched live from OpenAlex

Despite a continued recognition of the importance of relational aspects of quality of life for people with dementia, little research has examined environmental influences on informal social interaction in dementia care settings. The purpose of this ethnographic study was to identify and explore key elements of the physical and social environments that act as facilitators or barriers for social interaction among people with dementia living in special care units. We conducted in-depth interviews with staff members and completed a series of resident observations. Findings suggest that social factors such as staff work roles and resident group size, and physical factors such as a non-institutional character, the nursing station location, and adequate seating and sightlines are influential for prompting or supporting informal social interactions. Design recommendations are provided with the intent to create physical environments that foster informal social interactions among people in dementia care environments.

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)0.004
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.300
Teacher spread0.256 · 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

Citations74
Published2011
Admission routes1
Has abstractyes

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