The Kingston Standardized Behavioural Assessment
Bibliographic record
Abstract
The Kingston Standardized Behavioural Assessment (KSBA), a behavioral screening tool that assesses the behavioral changes associated with dementia, particularly Alzheimer's disease (AD), is introduced. Designed to be user friendly for clinicians not trained in specialized behavioral assessment techniques, it addresses some of the problems of existing scales. A group of patients diagnosed with probable AD, vascular dementia, or mixed (AD and vascular) was assessed using the KSBA. A subgroup was also given the Neuropsychiatric Inventory (NPI). Behavioral profiles and scores were obtained for all subjects. Factor analysis revealed 2 factors described as neuropsychiatric and neuropsychological. The KSBA efficiently collects neuropsychological and neuropsychiatric behavioral symptoms of dementia, is easy to score and interpret, and yields a behavioral profile that helps identify target behaviors for intervention. It can be used to facilitate clinical decision making around level of care and can be easily incorporated into clinically based research.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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".