The Ottawa statement on the ethical design and conduct of cluster randomized trials: A short report
Bibliographic record
Abstract
Owing to unique features of their design, cluster randomized trials complicate the interpretation of standard ethics guidelines. The recently published Ottawa statement on the ethical design and conduct of cluster randomized trials provides researchers and research ethics committees with detailed guidance on the design, conduct and review of cluster trials. The Ottawa statement sets out 15 recommendations, including guidance on the justification of study design, the need for research ethics committee review, the identification of research participants, obtaining informed consent, the role of gatekeepers in protecting cluster interests, the assessment of benefits and harms, and the protection of vulnerable participants.
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 | 0.282 | 0.428 |
| Meta-epidemiology (narrow) | 0.003 | 0.005 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.007 | 0.005 |
| Research integrity | 0.014 | 0.023 |
| Insufficient payload (model declined to judge) | 0.013 | 0.013 |
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".