1 000 jours pour changer l’avenir : ces signes précoces de troubles du neurodéveloppement permettant une prise en charge précoce
Bibliographic record
Abstract
Durant les 1 000 premiers jours de sa vie (270 jours de grossesse et 730 jours de vie), le foetus, le nouveau-né puis le nourrisson, doit se construire pour acquérir l’autonomie nécessaire à la vie, rien de moins. Il est possible d’identifier des signes annonciateurs de troubles du neurodéveloppement (TND) dans les premiers mois de vie, ce qui nous permet de mettre en place une prise en charge précoce avec l’espoir de diminuer les conséquences fonctionnelles du TND. Nous avons construit cette démarche de repérage précoce en différenciant trois sphères : la motricité, la sensorialité et les interactions afin de rechercher les drapeaux rouges. La consultation en neuropédiatrie organique conventionnelle, enrichie par l’étude des mouvements généraux, et la prise en compte de la psychodynamique familiale abordée par le pédopsychiatre mettent en perspective l’importance de la prise en compte des trois sphères chevillées aux particularités de l’environnement physique et humain de l’enfant.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".