A History of Multiple Sclerosis Investigations in Canada Between 1850 and 1950
Bibliographic record
Abstract
The medical profession's modern quandaries with Multiple Sclerosis (MS) largely began in 1849, with Friedrich von Frerichs' (1819-1885) early description of the clinical and pathological features of what he termed Hirnsklerose ("brain sclerosis"). This manuscript is an overview of the century of research (1850-1950) that followed the emergence of this clinical entity, with a focus on the hitherto under-explored English Canadian perspective. Using journal articles, reviews, and case studies, this historiographical paper reviews what may be some of the earliest recorded cases of MS in Canada, and outlines the diagnostic challenges that confronted early Canadian physicians in their encounters with MS. Early Canadian attempts to characterize the aetiology and epidemiology of MS and treat it are also discussed. These activities were influenced by developments in the field in Europe and the United States, and helped set the stage for the modern era of immunologic and therapeutic research on MS.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.000 | 0.001 |
| 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".