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Rethinking Risk in Pediatric Research

2008· article· en· W2048304143 on OpenAlexafffund
Kathleen Cranley Glass, Ariella Binik

Bibliographic record

VenueThe Journal of Law Medicine & Ethics · 2008
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsMontreal Children's HospitalMcGill University
FundersMcGill University
KeywordsInformed consentPerspective (graphical)PsychologyIndividualismClinical trialRisk assessmentMedicineEngineering ethicsAlternative medicinePolitical scienceComputer scienceComputer securityLawPathology

Abstract

fetched live from OpenAlex

This article reviews four areas of pediatric research in which we have identified questionable levels of allowable risk, exceeding those foreseen by the Commission. They are the following: (1) the categorization of increasingly risky interventions as minimal risk in a variety of protocols; (2) the increasing number of applications for federal panel review of research not otherwise approvable because of higher projected risk levels; (3) research on asymptomatic at risk children; and (4) the inclusion of children and adolescents in placebo-controlled trials for participants of all ages without performing subgroup analysis. While embracing the imperative to include children in research is an encouraging step towards providing the pediatric population with effective medical care and finally eradicating the therapeutic orphan, we must ensure that this research does not become overly permissive.

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 imitation

Not 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.

metaresearch head score (Codex)0.631
metaresearch head score (Gemma)0.626
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.369
Threshold uncertainty score0.456

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6310.626
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0060.003
Science and technology studies0.0110.134
Scholarly communication0.0280.051
Open science0.0110.022
Research integrity0.0280.055
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.395
GPT teacher head0.508
Teacher spread0.113 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designTheoretical or conceptual
DomainMethods
GenreEmpirical

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".

Quick stats

Citations12
Published2008
Admission routes2
Has abstractyes

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