First Steps Toward the French Validation of the Memory Binding Test (fMBT): Adaptation, Convergent Validity and Application to Normal Aging
Bibliographic record
Abstract
Le test d’intégration mnésique (TIM) permet de repérer les atteintes débutantes de la mémoire. La nouveauté du test est de cibler l’intégration mnésique, processus précocement altéré dans la forme prodromale de la maladie d’Alzheimer. L’objectif de cette étude est d’adapter et valider en français ce test (fMBT) et d’explorer les effets de l’âge (16 jeunes adultes et 14 personnes âgées). Le fMBT présente une bonne à excellente validité convergente avec le RL/RI-16. La performance des jeunes adultes est supérieure à celle des personnes âgées pour presque tous les indices du fMBT. Le test est aussi sensible et spécifique que le RL/RI-16 pour distinguer les personnes âgées des jeunes adultes, mais le fMBT a l’avantage de ne pas produire d’effet plafond. Ce test pourrait donc servir à évaluer la mémoire d’adultes jeunes. Cette étude offre ainsi les premières étapes de la validation du fMBT. Il reste à déterminer si le fMBT permet bien de détecter des troubles subtiles de la mémoire.
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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 | 0.022 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".