Pilot study of a new performance measure of activities of daily living (Night Out Task) in the Czech population
Bibliographic record
Abstract
Literature-review part The paper first examines the construct of Activities of Daily Living (ADL) and its division into Basic Activities of Daily Living (BADL) and Instrumental Activities of Daily Living (IADL). Furthermore, the paper highlights the importance of IADL measurement and describes the different types of IADL measurement; direct and indirect. Subsequently, the paper focuses on the emergence of different IADL performance measures and provides examples of different performance measures. Finally, the literature review section of the paper briefly describes an adaptation into Czech of a new IADL performance measure called the Night Out Task (NOT), which is discussed in detail in the research section. Research part The research part of the thesis aims to verify the feasibility of the new IADL performance measure (NOT) in healthy persons in the Czech population and to determine its psychometric characteristics. This part of the paper uses a quantitative research design. The research consists of the administration of the Czech version of the Montreal Cognitive Assessment (MoCA-CZ), the Czech version of the Functional Activities Questionnaire (FAQ-CZ) and the new IADL measure (NOT) assigned to fifteen individuals from two different age groups (50-60 years and 70-80 years of age) and the...
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".