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Record W4392816224 · doi:10.3389/fpos.2024.1374740

Representations of the Quebec nation through reactions to Bills 21 and 96: an analysis of editorials and Op-eds in English-language media

2024· article· en· W4392816224 on OpenAlexafffundabout
Félix Mathieu, Alina Hart

Bibliographic record

VenueFrontiers in Political Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Winnipeg
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsLinguisticsPolitical scienceSociologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

This article examines the representations of the Quebec nation in English-language media, specifically focusing on editorials and Op-eds which discuss Bill 21 An Act Respecting the Laicity of the State and Bill 96 An Act Respecting French, the Official and Common Language of Quebec. The study explores the perspectives expressed by members of the dominant English-speaking group in response to these nation-building policies introduced by Quebec public officials between 2019 and 2023. Specifically, it asks: How do editorials and Op-eds in established English-language newspapers represent the Quebec nation in response to Bill 21 and 96? In doing so, the research uncovers how the Quebec nation and its nation-building enterprises are portrayed in the media by examining four established newspapers: the Globe and Mail, the Winnipeg Free Press, the Montreal Gazette, and the Calgary Herald. Mobilizing a qualitative and inductive critical content analysis approach, it highlights core common themes and key normative and regional variations in the perspective advanced by the media outlets.

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)0.006
metaresearch head score (Gemma)0.019
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: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.654

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.007
Science and technology studies0.0130.011
Scholarly communication0.0130.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.015
GPT teacher head0.339
Teacher spread0.325 · 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

Citations4
Published2024
Admission routes3
Has abstractyes

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