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Record W2013071091 · doi:10.1080/08989621003708451

Dr. Cézanne and the Art of Re(peat)search: Competing Interests and Obligations in Clinical Research

2010· article· en· W2013071091 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAccountability in Research · 2010
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsWestern UniversityDalhousie University
Fundersnot available
KeywordsCompetition (biology)NarrativePublic relationsPolitical sciencePsychologyEngineering ethicsEngineering

Abstract

fetched live from OpenAlex

Clinician researchers have a number of roles, each of which carries specific obligations. There are times when these obligations may be in competition (up to and including conflict) with each other. Using a narrative case study that describes a group of colleagues discussing their clinical department's participation in an industry-sponsored research protocol, we illustrate a number of the obligations faced by clinician researchers, and discuss how competing interests and obligations can lead to ethical problems. The case study is followed by a discussion of the effect of university-industry relations on competing interests and obligations in both clinical research and the role of the university, and a suggested framework that could be used to determine when university involvement in commercial research is ethically acceptable.

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)0.259
metaresearch head score (Gemma)0.247
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.2590.247
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.017
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.022
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 head0.830
GPT teacher head0.719
Teacher spread0.111 · 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