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Record W2192731704 · doi:10.7202/1032800ar

La Palme présente Displicuit Nasus Tuus : quand la caricature sert de discours politique au Québec

2015· article· fr· W2192731704 on OpenAlexaffvenueabout
Alexandre Turgeon

Bibliographic record

VenueJournal of the Canadian Historical Association · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsFonds de Recherche du Québec - Santé
Fundersnot available
KeywordsHumanitiesConfusionArtPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Le 29 juin 1944, le gouvernement libéral d’Adélard Godbout déclenche des élections au Québec. Affaibli par son appui à Mackenzie King, le Parti libéral provincial se tourne vers le caricaturiste Robert La Palme pour la production d’une brochure intitulée La Palme présente Displicuit Nassus Tuus – du latin « Ton nez a déplu », en référence au nez de Maurice Duplessis, chef de l’Union nationale. Cette brochure ne contient que des caricatures. Si l’usage de la caricature dans ce contexte n’est pas particulier, on ne peut en dire autant de la place qui lui est accordée dans ce document. Pour étudier cette brochure, nous nous intéresserons aux stratégies électorales employées ainsi qu’aux caricatures choisies, afin de faire ressortir les thématiques et les enjeux privilégiés par le Parti libéral provincial. Dans cette brochure, il semble en fait y avoir confusion des genres entre caricature et discours politique. Cet article montre que la caricature sert de discours politique dans la brochure La Palme présente Displicuit Nassus Tuus, pavant la voie à la stratégie libérale contre Duplessis dans les années à venir. Les effets dépasseront le camp libéral pour se faire ressentir dans le discours antiduplessiste qui commence à prendre forme.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.060
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0130.004
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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 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

Citations0
Published2015
Admission routes3
Has abstractyes

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Same venueJournal of the Canadian Historical AssociationSame topicCanadian Identity and HistoryFrench-language works237,207