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Record W4414705447 · doi:10.1353/nef.2025.a970637

La Réception de la littérature québécoise dans la presse italienne: Les Cas d’ Il Manifesto et d’ Avvenire

2025· article· fr· W4414705447 on OpenAlexaboutno aff
Simone Casaldi

Bibliographic record

VenueNouvelles études francophones/Nouvelles etudes francophones · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicItalian Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsManifestoContext (archaeology)Identity (music)

Abstract

fetched live from OpenAlex

Abstract: Parmi les pays européens, l’Italie se distingue par le nombre important de traductions d’œuvres québécoises, qui forment un ensemble très éclectique. Pourtant, la littérature québécoise reste peu définie dans la perception des lecteurs italiens, n’étant pas reconnue comme un tout identifiable. Ce flou s’explique non seulement par la faible diffusion des maisons d’édition qui publient ces traductions, mais aussi par une méconnaissance des spécificités culturelles et linguistiques du Québec chez plusieurs traducteurs. Au-delà de ces facteurs, cet article propose d’élargir la réflexion en s’intéressant à un autre aspect, celui de la réception médiatique. Il s’agit d’analyser comment la presse italienne contribue à façonner l’image de la littérature québécoise, en examinant le traitement qu’en font deux journaux aux idéologies opposées, Il Manifesto et Avvenire . En adoptant une lecture contextualiste, l’étude examine la manière dont l’altérité des œuvres québécoises y est présentée au lectorat italien.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.722
Threshold uncertainty score0.560

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.015
Scholarly communication0.0110.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0170.001

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 head0.006
GPT teacher head0.234
Teacher spread0.228 · 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
Published2025
Admission routes1
Has abstractyes

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