Why the Debate over Minimal Risk Needs to be Reconsidered
Bibliographic record
Abstract
Minimal risk is a central concept in the ethical analysis of research with children. It is defined as the risks ". . . ordinarily encountered in daily life . . . ." But the question arises: who is the referent for minimal risk? Commentators in the research ethics literature often answer this question by endorsing one of two possible interpretations: the uniform interpretation (which is also known as the absolute interpretation) or the relative interpretation of minimal risk. We argue that describing the debate over minimal risk as a disagreement between the uniform and the relative interpretation impedes progress on the identification of a justifiable referent for minimal risk. There are two main problems with this approach: (1) constructing the debate over minimal risk as a disagreement between a uniform and a relative interpretation misconstrues the main difference between competing interpretations and (2) neither the uniform nor the relative interpretation identifies one unique and consistent group of children as the referent for minimal risk. We conclude that progress on the debate over minimal risk requires that we abandon the uniform and relative interpretations and address the main moral problem at stake: whether healthy children or the subjects of the research should be the referent for minimal risk.
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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 | 0.212 | 0.284 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.119 |
| Scholarly communication | 0.020 | 0.062 |
| Open science | 0.012 | 0.013 |
| Research integrity | 0.044 | 0.066 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".