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Record W2122101233 · doi:10.1177/0306312709334640

Biomedical Conventions and Regulatory Objectivity

2009· article· en· W2122101233 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

VenueSocial Studies of Science · 2009
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsUniversité du Québec à MontréalMcGill University
Fundersnot available
KeywordsObjectivity (philosophy)BiomedicineRegulatory scienceEpistemologySociologyEngineering ethicsPolitical scienceMedicineBiology

Abstract

fetched live from OpenAlex

This special issue of Social Studies of Science centers on the topic of regulation in medicine and, in particular, on the notion of regulatory objectivity, defined as a new form of objectivity in biomedicine that generates conventions and norms through concerted programs of action based on the use of a variety of systems for the collective production of evidence. The papers in the special issue suggest ways in which the notion of regulatory objectivity can be tested, extended, revised, or superseded by more appropriate notions. They insist on the need to examine more closely clinical-therapeutic (and not just clinical-research) activities, and to pay more attention to the activities of regulatory agencies such as the US Food and Drug Administration and to standard-setting organizations. They call attention to the professional and organizational activities surrounding the mobilization of conventions for regulating clinical practices. Finally, they provide material that can help us to think about how analytical notions such as regulatory objectivity may or may not inform interventionist research projects.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.009
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.565
GPT teacher head0.629
Teacher spread0.064 · 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