A Validation Study of Memory and Executive Functions Indexes in French-Speaking Healthy Young and Older Adults
Bibliographic record
Abstract
Medial temporal lobe (MTL)/memory and frontal lobe (FL)/executive functions indexes are used to measure changes related to cognitive aging. These indexes are based on composite scores of neuropsychological tests validated in English-speaking populations, and their use in aging research is growing in popularity. This study aimed at validating the MTL/memory and FL/executive functions indexes in French-speaking adults. Ninety-eight healthy participants (32 young and 66 older adults) were tested on eight neuropsychological tests, three associated with MTL/memory functions and five associated with FL/executive functions. Factor analysis indicated that residual scores independent of age and associated with MTL/memory functions grouped under one factor, and residual scores associated with FL/executive functions grouped under another factor. Bootstrapping analysis with 1,000 resamples confirmed stability for seven neuropsychological tests. This study provides the first validation of the MTL/memory and FL/executive functions composite scores in French-speaking adults, which may be used to assess cognitive changes in aging research.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".