Normes québécoises pour une version abrégée de l’Échelle de Dénomination de Boston à 30 items
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 it