Using the Rey-Osterrieth and Modified Taylor Complex Figures with Older Adults: A Preliminary Examination of Accuracy Score Comparability
Bibliographic record
Abstract
Although considerable research has now shown that the Rey-Osterrieth Complex Figure (ROCF) and its original companion figure, the Taylor Complex Figure (TCF), are "not" comparable measures of visuospatial learning and memory, recent studies have provided evidence to suggest that the Modified TCF (MTCF) is a comparable measure to the ROCF. The primary aim of the present study was to examine the comparability of ROCF and MTCF accuracy scores with older adults using the traditional incidental learning procedure. A secondary aim was to examine whether performance on the two figures showed comparable gender effects and relationships with age and education. Comparable recall performance, but not copy performance, was found for the two figures in this sample of older adults. No gender differences were found on either figure and similar relationships with age and education were reported for the two figures. These findings are discussed within the context of previous research with consideration given to the clinical implications of the findings and future research recommendations.
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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 | 0.007 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".