Remerciements
Bibliographic record
Abstract
RemerciementsComme on dit, jamais deux sans trois… Après L'autisme, un jour à la fois paru en 2008 et Accompagner l'enfant autiste publié en 2011, nous revoici avec un ouvrage porteur d'espoir qui s'ouvre sur l'avenir des adolescents autistes.Quel bonheur de retrouver nos éditeurs, les Presses de l'Université Laval (Québec) et Chronique sociale (France).Un merci particulier va à monsieur André Baril qui a toujours été engagé dans le processus de publication de nos ouvrages avec dévouement, sensibilité et respect.Merci à M me Caroline Merola pour ses illustrations qui rendent presque vivantes les réalités vécues par les jeunes autistes.Une image vaut définitivement mille mots.Merci à nos familles, nos amis et nos collègues de nous avoir soutenus dans l'élaboration de cet ouvrage.Merci à tous les enseignants et enseignantes, intervenants, spécialistes et éducateurs qui savent si bien entourer Maëlle dans le but de la faire cheminer constamment et de lui permettre de percevoir son avenir avec optimisme.
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 | 0.019 | 0.151 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.179 | 0.115 |
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".