The Cultural Adaptation of the Everyday Problems Test—Greek Version: An Instrument to Examine Everyday Functioning
Bibliographic record
Abstract
Assessing cognitive decline and everyday functioning (EvF) in older age is valuable in detecting age-related neurological disorders. In Greece, there is a lack of sensitive instruments that capture fluctuations in EvF among older persons who are cognitively healthy or have subtle cognitive impairments. The EPT 28-items test, a widely used paper-and-pencil EvF measure, was translated in Greek and adapted to the Greek culture in this study. A multi-step methodology using a sample of 139 older Greek persons was employed. The results indicate that the Greek version of the EPT 28-items (i.e., the EPT-G) was well adapted, representing everyday tasks in Greece within a good range of task difficulty. The psychometric properties of the EPT-G replicate those of the original instrument, capturing EvF fluctuations among older persons with mild cognitive impairments. It was concluded that the EPT-G is a useful measure of EvF among Greek older persons.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".