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Record W2029725525 · doi:10.1353/ken.2014.0029

Redundant, Secretive, and Isolated: When Are Clinical Trials Scientifically Valid?

2014· article· en· W2029725525 on OpenAlex
Kirstin Borgerson

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueKennedy Institute of Ethics journal · 2014
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchDalhousie University
KeywordsComplicityScientific integrityHarmResearch ethicsEngineering ethicsClinical trialClinical EthicsScientific misconductEthical issuesResearch integrityLawPolitical sciencePsychologySociologyMedicineAlternative medicineEngineering

Abstract

fetched live from OpenAlex

Clinical research has at least three problematic features: it tends to be redundant, secretive, and isolated. Research with these features not only wastes resources and causes harm, it also fails to meet a basic ethical requirement of research: scientific validity. According to a recent editorial in the BMJ, bioethicists and members of research ethics committees have been "notable by their absence" among those exposing persistent problems with clinical research and proposing solutions (Chalmers, Glasziou, and Godlee, BMJ 346, 2013, f105). In this paper I offer a theoretical diagnosis for the complicity of bioethicists and research ethics committees in these ongoing problems, as well as a partial solution in the form of a modified ethical requirement of scientific integrity.

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 imitation

Not 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.

metaresearch head score (Codex)0.177
metaresearch head score (Gemma)0.445
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1770.445
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.015
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.768
GPT teacher head0.644
Teacher spread0.124 · 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