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Record W2053850524 · doi:10.4000/vertigo.14297

Controverse, polémique, expertise : trois notions pour aborder le débat sur le changement climatique en France

2013· article· fr· W2053850524 on OpenAlexvenueno aff
Marion Mauger-Parat, Ana Carolina Lins Peliz

Bibliographic record

VenueVertigO · 2013
Typearticle
Languagefr
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cette étude vise à observer, au travers de méthodes d’analyse de discours, trois notions autorisant des formes de mise en débat de la question climatique : l’expertise, la controverse et la polémique. Il est question de comprendre la construction et la circulation du discours sur le changement climatique dans la presse française. Au-delà des questionnements théoriques visant à définir les notions de controverse, de polémique et d’expertise d’un point de vue discursif, la partie empirique de ce travail se construit en trois sections. Considérant que les usages permettent de définir les notions qui intéressent l’étude, nous proposons dans un premier temps une analyse des discours assumés par des climatologues, à propos de controverses et de polémiques. Dans un deuxième temps, nous nous intéressons à la représentation du GIEC dans la presse, notant qu’elle a connu une importante mutation. Dans un dernier temps, l’analyse se focalise sur les Unes des journaux quotidiens français afin de repérer un possible système discursif polémique à propos du climat dans la période 2009-2010, période riche en rebondissements événementiels qui alimentent les médias.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.529
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.004

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 head0.019
GPT teacher head0.275
Teacher spread0.256 · 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
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

Citations6
Published2013
Admission routes1
Has abstractyes

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Same venueVertigOSame topicRisk Perception and ManagementFrench-language works237,207