Pediatric Research and the Return of Individual Research Results
Bibliographic record
Abstract
As a matter of respect for the person, it is considered an ethical duty to offer to return research results to participants where appropriate. Nevertheless, the return of individual research results to participants raises many socio-ethical issues and greater challenges when the participant is a child. This discrepancy arises partly because the return of individual pediatric research results entails a tripartite relationship between researcher, child, and parent(s) and is embroiled in numerous considerations (e.g., acting in the best interest of the child, respect for the person, and respect for the autonomy of the parents/child). Extra caution is required in the pediatric research context because children cannot generally decide (consent) whether they want to be informed of their own research results or whether the results should be disclosed to parents. Children have long been considered a special and vulnerable group, and their parents, as guardians, play a critical role in the consent process. However, with regards to the return of individual research results, this might pose a potential conflict of interest between the current or future desires of the child and those of the parents.
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 | 0.380 | 0.396 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.049 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.015 | 0.016 |
| Insufficient payload (model declined to judge) | 0.007 | 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; 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".