Remembering home: creating a village for individuals living with dementia and their caregivers
Bibliographic record
Abstract
The number of individuals diagnosed with dementia is \non the rise globally. There is a dire need for suitable housing \nthat responds to the symptoms of dementia while also \nproviding spaces where individuals can thrive without being \nisolated from the greater community. In Canada, most places \ndesigned specifically for individuals living with dementia \nare institutional settings that separate individuals from their \ncommunity. Residential settings may offer comfort but are not \nadequately designed to meet the challenges of dementia. This \nthesis studies dementia care design to create a more suitable \nliving environment for individuals living with dementia and their \ncaregivers. A house community model style of residence is \ndesigned to accommodate individuals who live with dementia \nand caregivers in Sudbury, Ontario. The larger community and \nresidents can interact through arts-based programming to \nbenefit both. These efforts are made to provide more dignity \nand comfort to all involved in the dementia process.
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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 | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".