The Bloody Truth: Examining America's Blood Industry and its Tort Liability Through the Arkansas Prison Plasma Scandal
Bibliographic record
Abstract
Most of the time, blood transfusions are safe. Over the years, however, tragedies connected to tainted blood and blood products have ripped through communities on an international scale. Blood contaminated with hepatitis C, HIV, and hepatitis B has sickened and killed recipients, causing financial, political, and legal repercussions for those found responsible. This Note seeks to explore one such tragedy: the Arkansas Prison Plasma Scandal. Occurring between 1982 and 1994 at the Cummins Prison in Grady, Arkansas, the scandal stemmed from the operation of a blood product center in which prisoners “bled” in exchange for $7 to $10 per donation. It is alleged that tainted blood products from the prison were distributed internationally, and that thousands of people became infected with hepatitis C as a result. This Note will address: (1) the nature of the blood business in America, (2) the events at the Cummins prison plasma center and the ensuing scandal, (3) the response of the Canadian and British legal systems and governments to the tainted blood victims, and (4) the likely outcome of a negligence claim against the allegedly responsible parties if the victims had successfully filed suit. With this analysis, this Note will show that even if all the alleged facts about the circumstances at the prison plasma center are true, injured parties suing in the United States would not be able to prevail in a negligence claim because of the impossibility of proving causation in American blood product litigation.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.024 | 0.008 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".