Wayfinding in a Nursing Home for Advanced Dementia of the Alzheimer’s Type
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.
Bibliographic record
Abstract
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it