Perspectives on Dissemination of Sleep Knowledge and Standards Across Wider Europe and Beyond, the <scp>ESRS</scp> Assembly of National Sleep Societies Experience
Bibliographic record
Abstract
Sleep medicine and research have profound roots and traditions in Europe. Medical and health structure standards, including those related to sleep medicine, are currently regulated by respective national organisations within the European Union. However, despite this fact, the organisation and practice of sleep medicine are far from harmonious across countries, being highly dependent on national medical systems. Moreover, there is a need to involve countries outside the European Union, especially those with underdeveloped sleep medicine, whose individual needs are diverse. The current article reviews the avenues for the movement of the European Sleep Research Society's (ESRS) Assembly of National Sleep Societies (ANSS) towards improved and standardised knowledge in sleep medicine both within and beyond the EU through different activities, including the implementation of the European Examination in Sleep Medicine and the Beyond Boundaries project. Sleep knowledge dissemination, harmonisation in various countries, and advocacy for improvement of the health care system quality are the goals of the current activities.
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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 | 0.066 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".