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Record W4390773980 · doi:10.1017/s0008423923000604

Le Bloc québécois et la souveraineté : une analyse des communiqués de presse de 2002 à 2021

2024· article· fr· W4390773980 on OpenAlexaffabout
Dominic Duval, Katryne Villeneuve-Siconnelly

Bibliographic record

VenueCanadian Journal of Political Science · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicComputational and Text Analysis Methods
Canadian institutionsUniversité LavalUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsPhilosophy

Abstract

fetched live from OpenAlex

Résumé Comme l'illustrent Bélanger et Nadeau (2009), l'axe identitaire traditionnel au Québec apparait de moins en moins prédominant sur la scène politique québécoise. Cette situation impose l'adoption d'une stratégie différente de la part des divers partis dits souverainistes. Comment se sont articulées ces tentatives de repositionnement au sein du Bloc québécois? Afin d'explorer cette question, nous avons amassé plus de 7500 communiqués de presse diffusés par le parti entre 2002 et 2021. À l'aide de méthodes d'analyse automatisées et une approche de Latent Semantic Scaling développée par Watanabe (2020), nous illustrons et discutons de la prédominance de l'enjeu souverainiste à travers cette période, ainsi que le ton du parti quant à cet enjeu. Les résultats indiquent que les élections et les résultats de celles-ci jouent un rôle crucial dans la stratégie communicationnelle du Bloc québécois à l’égard de la souveraineté. De façon plus générale, nous observons certaines fluctuations importantes de l'attention accordée à cet enjeu et des variations importantes quant au cadrage de cet enjeu autour des élections. Cette note de recherche apporte un éclairage méthodologique nouveau quant aux théories entourant le réalignement politique en cours au Québec et la saillance qu'occupe le clivage de la souveraineté.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.011
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.030
GPT teacher head0.374
Teacher spread0.344 · 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 designObservational
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
Published2024
Admission routes2
Has abstractyes

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