Familiarity, Autonomy, and Safety Together (FAST): A program for adults with dementia and their caregivers
Bibliographic record
Abstract
Almost 50 million people worldwide are currently living with dementia, with approximately half a million and six million of those people living in Canada and the United States, respectively. Familiarity, Autonomy, and Safety Together (FAST) is a program idea for adults living with dementia and their family caregivers that draws upon the ideas of familiarity, autonomy, and safety that underlie dementia villages, a recent development in residential care facilities for people living with dementia. FAST uses themed stations that emphasize familiarity and which program participants living with dementia can move about and participate in at will, providing an often lost sense of autonomy. At the same time, caregivers, who often suffer from burnout and related problems, are provided an opportunity to socialize with each other and receive education and support. In this way, people living with dementia and their caregivers can independently benefit from the FAST program. Further, many libraries will be able to provide the FAST program at little or no cost to the library, and a modified version of the FAST program can be brought to patrons in other locations, such as a residential care facility.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".