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Record W2105381698 · doi:10.1177/00139160021972748

Wayfinding in a Nursing Home for Advanced Dementia of the Alzheimer’s Type

2000· article· en· W2105381698 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Behavior · 2000
Typearticle
Languageen
FieldEngineering
TopicSpatial Cognition and Navigation
Canadian institutionsUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsSignageDestinationsDementiaAnxietyCognitionPsychologyApplied psychologyComputer scienceCognitive psychologyNursingMedicineDiseasePsychiatryGeographyBusiness

Abstract

fetched live from OpenAlex

The aim of the study was to generate design criteria in order to encourage and facilitate wayfinding for advanced Alzheimer’s patients. Two sources of data were used: interviews with the staff of a typical urban nursing home, and a wayfinding experience with its residents. The results show that even patients with severe cognitive deterioration are able to reach certain destinations. Wayfinding decisions have to be based on environmental information that is readily accessible, so that the patient can proceed from decision point to decision point. Monotony of architectural composition and the lack of reference points render wayfinding difficult. The elevators are seen to be a major anxiety-causing barrier. Visual access to the main destinations increases their use and facilitates wayfinding. Signage has an important function, creating redundancy in wayfinding communication and compensating for the loss of memory and spatial understanding. Floor patterns and dark lines or surfaces can disorient the patients and cause anxiety.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.242

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.241
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