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Record W3203431280

Les stratégies de politesse en situation de « double contrainte » dans le débat télévisé des chefs de 2008 au Canada

2014· article· fr· W3203431280 on OpenAlexaffabout
Steeve Ferron, Sylvia Kasparian

Bibliographic record

VenuePapers from the Annual Meetings of the Atlantic Provinces Linguistic Association (PAMAPLA) · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsPolitenessHumanitiesPolitical sciencePoliticsSociologyPhilosophyLaw
DOInot available

Abstract

fetched live from OpenAlex

A l’aide des theories sur le systeme de la politesse, cette recherche a pour but de decrire les strategies verbales utilisees par les cinq participants lors du debat politique national televise des chefs de 2008 au Canada, alors qu’ils devaient suivre la consigne particuliere de flatter l’un de leurs adversaires. L’analyse demontre l’utilisation de mecanismes communs et divergents entre eux, au niveau des actes langagiers flatteurs et des actes langagiers menacants. Cette contribution originale nous eclaire davantage sur les strategies de politesse dans les debats politiques, plus notamment lors d’une situation de « double contrainte » tres prononcee. Using theories about politeness, this paper aims to describe the verbal strategies used by five political leaders during the national leaders’ debate televised in Canada in 2008. The leaders were asked to make positive comments about one of their opponents. The analysis shows shared and divergent mechanisms, including both Face Flattering Acts and Face Threatening Acts. This original contribution provides a better understanding of politeness strategies in political debates and, in particular, in the very explicit situation of “double bind.”

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)0.003
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.465
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.221
Teacher spread0.213 · 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".

Quick stats

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venuePapers from the Annual Meetings of the Atlantic Provinces Linguistic Association (PAMAPLA)Same topicLinguistics and Discourse AnalysisFrench-language works237,207