Naming Migraine and Those Who Have It
Bibliographic record
Abstract
Medical language has implications for both public perception of and institutional responses to illness. A consensus panel of physicians, academics, advocates, and patients with diverse experiences and knowledge about migraine considered 3 questions: (1) What is migraine: an illness, disease, syndrome, condition, disorder, or susceptibility? (2) What ought we call someone with migraine? (3) What should we not call someone with migraine? Although consensus was not reached, the responses were summarized and analyzed quantitatively and qualitatively. Panelists participated in writing and editing the paper. The panelists agreed that "migraine," not "migraine headache," was generally preferable, that migraine met the dictionary definition for each candidate moniker, terms with psychiatric valence should be avoided, and "sufferer" should be avoided except in very limited circumstances. Overall, while there was no consensus, "disease" was the preferred term in the most situations, and illness the least preferred. Panelists disagreed strongly whether one ought to use the term "migraineur" at all or if "person with migraine" was preferable. Panelists drew upon a variety of principles when considering language choices, including the extent to which candidate monikers could be defended using biomedical evidence, the cultural meaning of the proposed term, and the context within which the term would be used. Panelists strove to balance the need for terms to describe the best science on migraine, with the desire to choose language that would emphasize the credibility of migraine. The wide range of symptoms of migraine and its diverse effects may require considerable elasticity of language.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.026 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.006 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".