The value of communities and their consent: A communitarian justification of community consent in medical research
Bibliographic record
Abstract
Community engagement is increasingly defended as an ethical requirement for biomedical research. Some forms of community engagement involve asking the consent of community leaders prior to seeking informed consent from community members. Although community consent does not replace individual consent, it could problematically restrict the autonomy of community members by precluding them from research when community leaders withhold their permission. Community consent is therefore at odds with one of the central principles of bioethics: respecting autonomy. This raises the question as to how community consent can be justified or even required. This paper aims to provide an answer to this question by arguing, based on the work of Taylor and Kymlicka, that community practices are important for the identity and autonomy of community members. When these practices are incompatible with a solitary focus on individual informed consent, they need to be protected by making these decision-making practices (including asking permission to community authorities) part of the consent process. Since these decision-making practices are important for the autonomy of community members, community consent with the goal of protecting these practices is not necessarily in conflict with autonomy.
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 | 0.211 | 0.189 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.156 |
| Scholarly communication | 0.014 | 0.022 |
| Open science | 0.004 | 0.023 |
| Research integrity | 0.023 | 0.022 |
| Insufficient payload (model declined to judge) | 0.002 | 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".