Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The ethics of clinical research is based on several well-known guidelines and documents. The guidelines vary between countries, but the principles of respect for persons, beneficence, and justice are constant. These principles are reflected in requirements to obtain free and informed consent, to minimize risk or harm, and to not overly burden or disadvantage particular populations. For research to be ethical, it must also be of such a standard, and be conducted in such a manner that it will generate knew and useful knowledge. Children have limited capacity for understanding and may be more open to coercion. Therefore, they are regarded as a particularly vulnerable population, and specific clauses regarding children are incorporated into many guidelines. A key concept in these clauses is the degree of risk acceptable for children involved in research. While it is generally agreed that children require particular attention because of their vulnerability, there is also increasing concern that children in general should not be disadvantaged by lack of knowledge due to reduced research activity. Finally, an increasingly active area of research in children involves genetics and biobanking. Research in these areas raises new and challenging ethical issues.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.004 | 0.016 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it