Bibliographic record
Abstract
Pourquoi une simple douche est-elle si douloureuse pour l'autiste ? Qu'est-ce qui peut provoquer les episodes de crise ? Se peut-il que le handflapping, ces gestes de balayage des mains, soit en realite un outil de gestion pour prendre la mesure de l'espace et du monde ? A partir de l'experience vecue de personnes ayant un TSA (trouble du spectre de l'autisme), ce livre propose des pistes pour comprendre et repondre aux besoins des autistes. Un cerveau autiste est different d'un cerveau neurotypique et ne traite pas les informations arrivantes de la meme maniere. La methode SACCADE creee par les auteures est un outil de communication avec les autistes tenant compte de ces specificites. Elle est utilisees dans de nombreuses ecoles au Quebec. Sous forme de questions et de reponses, le livre developpe environ 50 notions propres au fonctionnement de l'autiste, et offre de nombreux conseils bases sur une comprehension nouvelle des TSA, qui trouve de plus en plus echo chez les neurologues.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".