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Record W1609292404 · doi:10.29173/cf131

Double construction de soi et du public dans les discours d’ouverture d’émissions télévisuelles françaises

2014· article· fr· W1609292404 on OpenAlexvenueno aff
Annabelle Seoane

Bibliographic record

VenueConvergences francophones · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Nous étudierons les discours d’ouverture des émissions télévisuelles françaises par le biais de l’analyse de discours et de la linguistique textuelle. Bien que peu étudiés jusqu’alors, ces discours s’avèrent intéressants car chacun constitue un condensé de l’orientation discursive de toute l’émission. Nous passerons d’abord en revue les principales constantes génériques qui se dessinent puis nous montrerons que bien que différentes en fonction du public visé, ces discours ont des stratégies qui fondent, à des degrés différents, leur identité sur cette connivence. Pour pérenniser encore cette relation, le téléspectateur est mis en confiance par : une scénographie qu’il (re)connaît et qui lui correspond, un ethos du locuteur qui s’est adapté à lui, une dimension dialogique et, enfin, une tonalité modalisante et des choix lexicaux qui le confortent dans cette relation locutive. Il est de plus en plus invité à prolonger cette interlocution en une interactivité sur les réseaux sociaux notamment.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.225

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.012
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.259
Teacher spread0.236 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2014
Admission routes1
Has abstractyes

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Same venueConvergences francophonesSame topicLinguistics and Discourse AnalysisFrench-language works237,207