Dénomination rapide chez les enfants déficients intellectuels : comparaison avec des enfants tout-venant
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
Cette revue de litterature s’interesse a la Denomination Rapide Automatisee (DRA) ou Rapid Automatized Naming (RAN) dans sa relation avec la deficience intellectuelle. Pour la construire, nous avons utilise 16 references bibliographiques que nous avons trouvees dans les bases de donnees PubMed et Science Direct. RAN est etudie depuis les annees 70. Les tâches de RAN ont evolue depuis leur creation par Geschwind. Il existe des tâches de RAN alphanumeriques (portant sur des lettres, des chiffres) et non alphanumeriques (portant sur des objets, des configurations digitales ou des configurations canoniques de des, etc.). Le RAN est considere comme un predicteur de certaines capacites academiques ulterieures comme la lecture et les mathematiques chez les enfants tout-venant. Si d’assez nombreuses etudes se sont interessees aux performances d’enfants tout-venant a differentes tâches de RAN, tres peu ont aborde les performances d’enfants deficients intellectuels a des tâches de RAN et a leur valeur predictive.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.005 |
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