The future of paediatric sleep medicine: a blueprint for advancing the field
Bibliographic record
Abstract
Paediatric sleep medicine has rapidly evolved and expanded over the past half century as it became increasingly recognised as a unique field related to but distinct from adult sleep medicine. In looking forward to the next years, the focus of the following discussion is two-fold: to summarise a brief history of the field, recent developments and current trends, and to present a blueprint for the future across various key domains. Using Bronfenbrenner's Ecological Systems Theory as a model for the interaction between the five interconnected ecosystems and sleep in children, we discuss a variety of topics relevant for the present state and future of paediatric sleep medicine. Such topics include the potential effects of climate change and war on children's sleep, the development of public policy initiatives-such as sleep education in schools and in communities, and global efforts to reduce the epidemic of insufficient sleep. Indeed, insufficient sleep contributes to a myriad of negative medical, mental health, functional, and safety consequences. We also focus on the development of paediatric sleep medicine-specific educational initiatives and training programmes, and we showcase professional organisations such as the International Paediatric Sleep Association that are dedicated to the global expansion of paediatric sleep medicine. Finally, we address the need for further interdisciplinary collaborations, identify critical research gaps and explore the potential role of artificial intelligence and other new technologies in paediatric sleep research, including standardisation of sleep measurements, and novel methods of monitoring sleep in children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".