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Record W2336937680 · doi:10.4000/cdst.405

L’encadrement juridique de la recherche translationnelle : tentative de cartographie d’une normativité plurielle

2015· article· fr· W2336937680 on OpenAlexaff
Nicholas Léger-Riopel

Bibliographic record

VenueCahiers Droit Sciences & Technologies · 2015
Typearticle
Languagefr
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La recherche translationnelle, paradigme émergent de la recherche biomédicale, soulève une variété d’enjeux juridiques parfois inédits. À titre d’expression technique du programme de la recherche translationnelle, la multiplication des biobanques à l’échelle mondiale (ré)actualise certaines questions liées à l’encadrement éthique et juridique de la recherche biomédicale. À partir d’une définition permettant d’esquisser les pourtours d’une « carte » des différentes étapes sous-tendues par la recherche translationnelle, il sera possible d’exposer certains enjeux juridiques des différentes « traductions » ainsi opérés, des acquis de la recherche fondamentale en nouvelles pratiques cliniques, notamment en matière d’activités biobanquaires. L’encadrement tout particulier des biobanques, à la fois pluriel et protéiforme, en appelle à l’adoption d’une vision plus riche de la normativité, apte à favoriser tant la gestion des risques par la régulation, que la légitimité par la mobilisation de la notion de gouvernance

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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.599
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.026
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.002
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 head0.154
GPT teacher head0.384
Teacher spread0.230 · 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; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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