Borders and Blood Fractions: Gamma Globulin and Canada’s Fight against Polio, 1950–55
Bibliographic record
Abstract
During the early 1950s, Canada's efforts to prevent polio became heavily influenced by developments in the United States. America's foremost polio charity, the National Foundation for Infantile Paralysis, sponsored University of Pittsburgh researcher Dr. William McD. Hammon to evaluate the efficacy of a human blood fraction, gamma globulin (GG), to prevent paralytic polio. When the resulting clinical trial data appeared to show that the blood fraction offered some protection against the disease, Canadians embraced the concept for reasons of historical trust, parental demand, and public health pragmatism. They established Canada's first national immunization program to fight polio before the vaccine, as well as developed a plan to produce, evaluate, and distribute GG to epidemic areas. Despite being an expensive enterprise for a geographically vast and sparsely populated nation, Canada's GG program was extended to citizens and it became an important response to polio before a safe and effective vaccine was licensed. Although the blood fraction was not as effective at preventing polio paralysis as researchers had anticipated, its systematic use reveals how Canadian health leaders drew on transnational relationships to reduce the incidence of disease.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".