Spanish Validation of the Syndrom Kurztest (SKT)
Bibliographic record
Abstract
There is an urgent need in multinational studies for efficient and sensitive tests for the evaluation of dementias. These tests are used to investigate the regional characteristics of dementias, providing possible insight into the different etiologies of the disorders. These tests are also utilized to assess the outcome of treatment interventions at multinational levels. We validated and standardized the Syndrom Kurztest, a brief European neuropsychological test, in a population of elderly Chileans, possessing high levels of illiteracy. In our sample, the SKT was found to be an effective instrument for the diagnosis of dementias, and for differentiating mild-moderate from severe degrees of the disease. There was a good correlation between the scores on the SKT and the age of the participants, but the gender and the years of schooling had no effect. The test is a useful contribution to the study of dementias, found in the aging developing world, particularly because it can be used in illiterate populations.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".