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Record W1586771616 · doi:10.7202/045354ar

Les représentations sociales des technologies du vivant en Europe

2011· article· fr· W1586771616 on OpenAlexvenueno aff
Daniel Boy, Flora Chanvril

Bibliographic record

VenueSociologie et sociétés · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Depuis une vingtaine d’années de multiples controverses publiques se sont développées à propos de l’usage des biotechnologies. En matière de biotechnologies « vertes », c’est-à-dire principalement liées à la fabrication de plantes transgéniques, l’accent a été mis sur les risques encourus par les consommateurs et l’environnement, et l’on a souvent souligné le défaut de bénéfice immédiat pour les consommateurs. En ce qui concerne les biotechnologies « rouges », c’est-à-dire pour l’essentiel celles qui concernent le domaine médical, la notion de risque est sans doute plus ambiguë puisque les bénéfices attendus pour les patients paraissent plus directs. Mais au-delà du calcul risque-bénéfice, les biotechnologies « rouges » ont des conséquences possibles dans le domaine de l’éthique qui sont apparues pour la première fois de façon éclatante au moment du clonage de la brebis Dolly. L’analyse d’enquêtes par sondage réalisées au sein des pays de l’Union Européenne (Eurobaromètres) permet d’explorer l’univers des représentations sociales des Européens dans ce domaine.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.993
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0070.019
Scholarly communication0.0140.009
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.637
GPT teacher head0.554
Teacher spread0.082 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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".

Quick stats

Citations1
Published2011
Admission routes1
Has abstractyes

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