Bibliographic record
Abstract
Design for Assisted Living: Guidelines for Housing the Physically and Mentally Frail, by Victor Regnier. John Wiley & Sons, New York, 2002, 344 pp., $74.00 (cloth). Design for Assisted Living: Guidelines for Housing the Physically and MentallyFrail by Victor Regnier presents an agenda for the design and management of assisted living facilities. It is both an extensive compendium of information about design and an insider's reflection on the nature of the industry. In addition, it includes an illuminating critique of long-term care in the United States. The book is based on research, conducted both by the author and others, and on many years of practical experience in the field. Victor Regnier is one of the world's premier authorities on assisted living and, more generally, housing for older people. He is an architect and gerontologist who has authored many articles and books. Professionally, he has consulted on more than 250 building projects in the United States, Canada, the United Kingdom, and Germany. He is a former Fulbright Scholar and has received numerous awards for his work.
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 | 0.022 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.082 |
| Scholarly communication | 0.019 | 0.022 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.008 | 0.016 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".