Bibliographic record
Abstract
This bachelor's thesis focuses on the psychometric properties of the Benson Complex Figure, which consists of three subtests - copy, recall, and recognition. The Benson Complex Figure is a diagnostic tool designed to assess visuospatial functions and visual memory, often used in the context of detecting cognitive impairment, and is included in the Uniform Data Set III test battery. The aim of this study was to verify the reliability and validity of the instrument in a selected sample of participants. Internal consistency of the individual subtests was evaluated. Discriminant validity was assessed based on the test's ability to differentiate between cognitively healthy individuals and patients diagnosed with mild cognitive impairment. Convergent validity was examined through correlations with the Rey-Osterrieth Complex Figure, the Montreal Cognitive Assessment, and the Noise and Pareidolia Test. The findings indicate a satisfactory level of reliability and validity for the recall subtest, supporting its applicability in neuropsychological assessment. In contrast, the results of the copy and recognition subtests were significantly affected by a ceiling effect, which was notably present in both. The conclusion discusses the limitations of the study and proposes directions for further research and...
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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 | 0.011 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".