Bibliographic record
Abstract
Historically the primary role of the Institutional Review Board (IRB) has been "to assure, both in advance and by periodic review, that appropriate steps are taken to protect the rights and welfare of humans participating as subjects in research" (U.S. FDA, 1996). However, there is much to suggest that IRBs have been unable to fulfil this mandate, particularly in regard to the matter of informed consent. Part of the problem in this regard is that the competing interests of other stakeholders often undermine the IRB's capacity to serve the best interests of research subjects. This paper proposes an alternative view of the role of the IRB. It begins by treating the interests of other stakeholders as legitimate matters of concern for IRBs. Hence the process established to review and monitor human research should be treated as an exercise in social justice in which the interests of all legitimate stakeholders must be represented and considered. A variation of Rawls' (1971) heuristic "the veil of ignorance" is employed to explore the dynamic relationship between knowledge and interests that ensues when the role of the IRB is characterized in this manner. Inadequacies in the informed consent process are taken as illustrative of the inability of IRBs as they are presently construed to attend to the interests of research subjects. The major normative implication of the analysis offered here is that the role of the IRB must be expanded to include the granting of a provisional proxy consent on behalf of prospective research subjects. This provision is necessary, it is argued, if the interests of research subjects are to be fairly assessed by IRBs as a matter of social justice. It is necessary as well to ensure that an adequate standard of informed consent is attained. Somewhat paradoxically it is argued that the interests of research subjects are better served when treated as one among a number of competing sets of interests the IRB must serve, rather than as the primary concern of the IRB.
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 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 | 0.234 | 0.236 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.012 | 0.135 |
| Scholarly communication | 0.017 | 0.023 |
| Open science | 0.007 | 0.020 |
| Research integrity | 0.026 | 0.019 |
| Insufficient payload (model declined to judge) | 0.007 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".