When Deception Promotes Dignity: The Ethics of Using Illusion to Create Safe Spaces for Persons Living with Dementia
Bibliographic record
Abstract
Caring for persons living with dementia (PLWD) is challenging. Some of the most challenging aspects include managing behavioral and psychologic symptoms of dementia (BPSD). Many patients and families will consider dementia care facilities to better manage BPSD, which can contain design elements that use the physical environment to decrease BPSD by deceiving residents and controlling their behavior—all for their own benefit and safety. This immersive approach to behavior management represents a more holistic way to manage BPSD. Considering the especially vulnerable status of PLWD, these design elements should be thoughtfully implemented, researched post-implementation, and discussed with patients and their loved ones. The design-based approach to managing BPSD demonstrates the obligation healthcare providers and facility designers have to be more holistic in designing care environments for PLWD, especially for those living in dementia care facilities.
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 | 0.029 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.012 | 0.064 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.002 | 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".