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Record W1634185843 · doi:10.3917/rfsen.533.0251

10.3917/rfsen.533.0251

2000· article· en· W1634185843 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsTechnoscienceField (mathematics)SociologySocial scienceEnvironmental ethicsEpistemologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Located at the leading edge of reconfigurations of the contemporary academic world, biomedical research is a priority area for the sociology of science. A number of studies describe in turn the rise of the “scientist entrepreneur,” the blurring of the traditional boundaries between science and industry, or even the abandonment of the normative principles supposed to characterize the scientific community. This article proposes to shed light on these reconfigurations by studying a new field of biomedical research—the human embryonic stem cell (hESC)—and a key player in France: the Institut des Cellules Souches pour le Traitement et l’Etude des Maladies Monogeniques (Institute of Stem Cell Therapy and Exploration of Monogenic Diseases) or I-STEM. Reviving a tradition dedicated to the sociological study of scientific specialties, the article analyses the emergence of I-STEM from the dual perspective of the temporalities that coincide in a single project and its territorial location in the Evry Biopark. By adopting a broader conception of the regulation of science, the article demonstrates the importance for sociologists not to interpret the logic of scientific action through too simplistic a framework, and from an international comparison between France and Britain, the need to replace a purely transgressive conception of technoscience with an approach centred on the organizational regime of scientific work.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.914
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.9860.921

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 head0.008
GPT teacher head0.220
Teacher spread0.212 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2000
Admission routes1
Has abstractyes

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