Croiser les perspectives pour mieux informer en autisme : Entre ce que les professionnels veulent dire, ce que les parents veulent savoir et comment les adultes autistes veulent que l’on parle d’eux
Bibliographic record
Abstract
Ce projet est issu d’une préoccupation quant au besoin de développer des outils de communication faciles à comprendre et qui répondent au plus grand nombre de parents d’enfant(s) autiste(s) ayant récemment reçu leur diagnostic. Dans une approche systémique de la littératie en santé (Sørenson et al., 2012), nous avons développé une grille pratique de manière à soutenir la rédaction de documents et leur amélioration afin de les rendre plus compréhensibles pour le grand public. La démarche réalisée s’est caractérisée par le croisement des perspectives de différents publics concernés : professionnels, parents, adultes autistes. Ce projet novateur est l’un des premiers à avoir exploré les enjeux de littératie dans le contexte de l’autisme.
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 | 0.054 | 0.071 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".