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Record W97203650

Les particularités d'un discours politique : les gouvernements minoritaires de Pierre Trudeau et de Paul Martin au Canada

2005· article· fr· W97203650 on OpenAlexaboutno aff
Dominique Labbé, Denis Monière, Cyril Labbé

Bibliographic record

VenueAmericanae (AECID Library) · 2005
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Depuis la seconde guerre mondiale, l'État fédéral canadien a été gouverné à sept reprises par des équipes sans majorité au parlement : en 1957, 1962, 1963, 1965, 1972, 1979 et 2004. Dans cette étude nous avons retenu deux cas : celui du gouvernement Trudeau 1972-1974 et celui du gouvernement Martin 2004 parce que dans ces deux cas, le même parti et le même chef ont assumé le pouvoir en situation majoritaire et en situation minoritaire. Le vocabulaire caractéristique de ces deux équipes est mis en lumière grâce au calcul des "spécificités du vocabulaire". On présente ce calcul en détail : utilisation de la loi hypergéométrique et pondération en fonction de la catégorie grammaticale du mot étudié. Il apparaît que le discours gouvernemental minoritaire est nettement impersonnel ; il sous-utilise les verbes et se réfugie dans un catalogue d'actions de court terme.

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)0.003
metaresearch head score (Gemma)0.009
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.569

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0480.017
Scholarly communication0.0100.003
Open science0.0010.004
Research integrity0.0070.014
Insufficient payload (model declined to judge)0.0080.001

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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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Same venueAmericanae (AECID Library)Same topicLinguistics and Discourse AnalysisFrench-language works237,207