Replicating the classification accuracy of the Verbal Paired Associates and Visual Reproduction recognition trials as embedded performance validity tests.
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
OBJECTIVE: This study was designed to replicate previous research on the clinical utility of the Verbal Paired Associates (VPA) and Visual Reproduction (VR) subtests of the WMS-IV as embedded performance validity tests (PVTs) and perform a critical item (CR) analysis within the VPA recognition trial. METHOD: = 13.9). Classification accuracy was computed against psychometrically defined criterion groups based on the outcome of various free-standing and embedded PVTs. RESULTS: Age-corrected scaled scores ≤ 6 were specific (.89-.98) but had variable sensitivity (.36-.64). A VPA recognition cutoff of ≤ 34 produced a good combination of sensitivity (.46-.56) and specificity (.92-.93), as did a VR recognition cutoff of ≤ 4 (.48-.53 sensitivity at .86-.94 specificity). Critical item analysis expanded the VPA's sensitivity by 3.5%-7.0% and specificity by 5%-8%. Negative learning curves (declining output on subsequent encoding trials) were rare but highly specific (.99-1.00) to noncredible responding. CONCLUSIONS: Results largely support previous reports on the clinical utility of the VPA and VR as embedded PVTs. Sample-specific fluctuations in their classification accuracy warrant further research into the generalizability of the findings. Critical item analysis offers a cost-effective method for increasing confidence in the interpretation of the VPA recognition trial as a PVT. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it