Pour une recherche participative dans le trouble du spectre de l’autisme
Bibliographic record
Abstract
Participatory research applied to autism spectrum disorder is an emerging research methodology. In this type of project, researchers and clinicians collaborate with autistic people, their families and professionals on research projects that are jointly determined, making the most of everyone's strengths, skills and knowledge. The resulting work addresses issues identified as priorities by all partners. The aim is to bridge the gap between research, clinical practice and the experience of autistic people. This opinion piece reviews this methodology, its scientific and societal value, and the ethical issues and limitations it raises. It also sheds light on the particular attention that needs to be paid to methodological aspects and the resources that need to be put in place to ensure that everyone can play their part to the full, scientists and autistic people alike.
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 | 0.228 | 0.209 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.028 |
| Scholarly communication | 0.016 | 0.020 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.009 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 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".