Redefining Residence: An Alternative Memory Care Environment for single, childless persons with Alzheimer's Disease
Bibliographic record
Abstract
Single, childless older adults with Alzheimer’s disease (AD) are among the most vulnerable and socially isolated demographic within this rising population. Individuals who do not have social support from partners or adult children experience barriers that hinder their ability to safely age in place while living with AD, resulting in social isolation and/or premature institutionalization. This practicum offers an interior design solution for the main level of The Lakes Memory Care Center, a long-term care facility for persons with Alzheimer’s disease or related dementia. The facility is located on the site of the Dementia Friendly City Center (DFCC), a conceptual mixed-used development that provides a variety of housing options and amenities through the adaptive reuse of a vacant retail property. The goal of The Lakes Memory Care Center is to provide a supportive living environment that enhances the independence, sense of belonging, and well-being of residents experiencing relocation, while allowing them to remain active members of the surrounding community. The proposed design integrates evidence-based design strategies as well as theoretical literature related to retrogenesis, place attachment and wayfinding to create an environment that is tailored to the needs of this user group.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".