Normes québécoises pour une version abrégée de l’Échelle de Dénomination de Boston à 30 items
Bibliographic record
Abstract
L’Échelle de Dénomination de Boston (BNT) est un des tests neuropsychologiques les plus utilisés pour évaluer les capacités de dénomination d’images, en particulier lors du dépistage de démences. À partir de la version originale (60 items), une version abrégée à 30 items (BNT-30) a été élaborée. La présente étude a analysé les réponses produites par 286 participants québécois francophones âgés entre 50 et 93 ans afin d’établir des normes pour cette version abrégée. Les résultats montrent que la performance au BNT-30 est liée à l’âge et au niveau d’éducation. Des consignes d’administration détaillées sont proposées afin d’uniformiser la passation et la cotation du BNT-30.
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| 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) | 0.004 | 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".