Paying for Plasma: Commodification, Exploitation, and Canada's Plasma Shortage
Bibliographic record
Abstract
A private, for-profit company has recently opened a pair of plasma donation centres in Canada, at which donors can be compensated up to $50 for their plasma. This has sparked a nation-wide debate around the ethics of paying plasma donors. Our aim in this paper is to shift the terms of the current debate away from the question of whether plasma donors should be paid and toward the question of who should be paying them. We consider arguments against paying plasma donors grounded in concerns about exploitation, commodification, and the introduction of a profit motive. We find them all to be normatively inconclusive, but also overbroad in light of Canada’s persistent reliance on plasma from paid donors in the United States. While we believe that there are good reasons to oppose allowing a private company to profit from Canada’s blood supply, these concerns can be addressed if payment is dispensed instead by a public, not-for-profit agency. In short, we reject profiting from plasma while we endorse paying for plasma; we therefore conclude in favour of a new Canadian regime of public sector plasma collection and compensation.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.013 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".