Increased variability accompanies frontal lobe damage in dementia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Performance variability on neuropsychological measures is not a unitary phenomenon, and different measures (consistency, dispersion, diversity) evaluate separate elements of variability. It has been suggested that increased variability may be a specific attribute of frontal lobe pathology. This hypothesis was tested in 2 matched groups of demented subjects, 8 with dementia of the Alzheimer type (DAT), 5 with frontal lobe dementia (FLD), compared with 10 elderly normal controls (ENC). A Stroop test and Reaction Time measures were administered weekly for 5 weeks to all subjects. Both measures contained three subtests varying in degree of complexity. The results from the Stroop task indicated that the FLD group showed significantly greater variability on measures of consistency (fluctuations over time) and diversity (between participant variability) regardless of the complexity of the subtest. For the Reaction Time subtests, measures of consistency and diversity showed significantly greater variability in FLD, but were affected in a different pattern. Greater variability in terms of consistency of performance was manifested only in the more attentionally demanding of the Reaction Time subtests (Choice Reaction Time, CRT). On the measure of diversity, variable performance was found to be greater on the Simple Reaction Time (SRT) subtest than on the more effortful CRT. Dispersion (within participant variability) was only assessed on the reaction time subtests. The results indicate no significant evidence for an increase in dispersion for the FLD patients. The hypothesis that variability will be increased in frontal lobe dementia is thus confirmed, and the independence of the three forms of variability measurement is demonstrated in dementia subjects.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 it