Commentary on Larrabee, Millis, and Meyers’ paper “Sensitivity to Brain Dysfunction of the Halstead Reitan vs an Ability-Focused Neuropsychological Battery”
Bibliographic record
Abstract
The study by Larrabee, Millis, and Meyers (2007 Larrabee, GJ, Millis, SR and Meyers, JE. 2007. Sensitivity to brain dysfunction of the Halstead Reitan vs an ability-focused neuropsychological battery. The Clinical Neuropsychologist, 22(5): 813–825. [Google Scholar]) was designed to compare the sensitivity to brain dysfunction of the Halstead Reitan Battery (HRB) to an ability-focused battery using data from Russell's database. Appropriate cases were screened to eliminate participants “wherein external incentive (Veterans Disability) was a possible factor …” (p. 815). However, VA compensation is not related to medical treatment since it requires an unrelated independent investigation. Russell's participants were diagnosed by faculty members of the University of Miami Medical School using CT scans etc. The Larrabee et al. (2007 Larrabee, GJ, Millis, SR and Meyers, JE. 2007. Sensitivity to brain dysfunction of the Halstead Reitan vs an ability-focused neuropsychological battery. The Clinical Neuropsychologist, 22(5): 813–825. [Google Scholar]) SVT screening method combined two moderately sensitive digit span methods into an unvalidated procedure. This procedure's correct identification of response bias in brain-damaged participants was statistically no better than chance. The neurologically negative control group conformed to a standard distribution, when any substantial number of participants with response bias would have skewed the distribution. Both digit span and the SVT procedure correlated significantly with a validated index of brain damage severity. Since the screening procedure was not validated and it was sensitive to the severity of impairment, the type of participants that were represented was questionable, so the comparison study would be inconclusive.
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How this classification was reachedexpand
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".