Le développement d’une approche clinique pour les troubles du sommeil en pédopsychiatrie
Bibliographic record
Abstract
OBJECTIVES: Health sciences suffer from insomnia: experts too often concentrate their efforts on the wake state. Fortunately enough, some of them have taken the road towards the "Dark Third of Life": sleep. This article gives an historical account of the development of the first Canadian sleep disorders laboratory and clinic specifically and selectively designed for children and adolescents with a psychiatric diagnosis. It then stresses the importance of sleep in children bearing a psychiatric diagnosis and summarizes therapeutic strategies. METHODS: Data-on-file and selective review of literature. RESULTS: An innovative scheme matching sleep psychologists and psychiatrists with expertise in neurodevelopmental disorders led to the creation of a sleep research laboratory on mental health disorders. The initial research projects on the sleep and dreams of patients with schizophrenia and persons with autism are summarized. The Sleep Disorders Clinic for Children and Adolescents was then created at the Hôpital Rivière-des-Prairies, leading to much needed activities focused on youth. Indeed, sleep disorders show a high prevalence in children with a psychiatric diagnosis and the literature shows that these children have an increased sensitivity for diurnal effects of poor sleep. The main sleep-relevant issues at stake are reviewed, including the high frequency of sleep disorders in pedopsychiatric patients. Clinical challenges are described and the operating mode of the Sleep Disorders Clinic is illustrated. CONCLUSION: Sleep disorders and their effects on daytime functioning need to be assessed in children with a psychiatric diagnosis in order to generate a full clinical picture. Appropriate tools and know-how are readily available in order to achieve this goal.
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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 | 0.017 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".