The road to a World Health Organization global action plan on epilepsy and other neurological disorders
Bibliographic record
Abstract
The World Health Organization (WHO) has recognized epilepsy as a public health imperative due to its occurrence at all ages in all regions of the world, its high impact on disability-adjusted life years and psychosocial aspects, and the accompanying stigma. The International League Against Epilepsy and the International Bureau for Epilepsy have established crucial collaborations with regional and global organizations to promote epilepsy as a treatable disease, close the treatment gap in care, education, and research, and eradicate stigma. In November 2020, the efforts of these three organizations-with support from WHO member states, the World Federation of Neurology, and the European Federation of Neurological Associations-culminated in the unanimous approval of a WHO resolution to create and implement an Intersectoral Global Action Plan on Epilepsy and Other Neurological Disorders. This unique achievement is built on more than 2 decades of collaboration and effort, and heralds extraordinary opportunities to work toward a world where no person's life is limited by epilepsy.
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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 | 0.031 | 0.028 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.020 | 0.029 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".