What’s in a name? Problems, facts and controversies regarding neurological eponyms
Bibliographic record
Abstract
The use of eponyms in neurology remains controversial, and important questions have been raised about their appropriateness. Different approaches have been taken, with some eponyms being excluded, others replaced, and new ones being created. An example is Hallervorden-Spatz syndrome, which has been replaced by neurodegeneration with brain iron accuulatium (NBIA). Amiothoplic lateral sclerosys (ALS), for which the eponym is Charcot's disease, has been replaced in the USA by Lou Gehrig's disease. Guillain-Barré syndrome (GBS) is an eponym that is still the subject of controversy, and various different names are associated with it. Finally,restless legs syndrome (RLS), which was for years known as Ekbom's syndrome, has been rechristened as RLS/Willis-Ekbom syndrome.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".