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Record W1605341920

The Bloody Truth: Examining America's Blood Industry and its Tort Liability Through the Arkansas Prison Plasma Scandal

2012· article· en· W1605341920 on OpenAlexaboutno aff
Sophia Chase

Bibliographic record

VenueWilliam & Mary Business Law Review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsnot available
Fundersnot available
KeywordsBloodyPrisonPoliticsHepatitis CPolitical scienceMedicineCriminologyLawInternal medicineSociologySurgery
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.325
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

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