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Record W4309442963 · doi:10.1111/nana.12902

Transformations in contemporary Quebec nationalism, 1960–2020: A shift in the sources of collective animosities

2022· article· en· W4309442963 on OpenAlexaffabout
François Rocher

Bibliographic record

VenueNations and Nationalism · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsResentmentNationalismReferendumHostilityFeelingIndependence (probability theory)SociologyCharacter (mathematics)GrievancePolitical sciencePolitical economyLawSocial psychologyPsychology

Abstract

fetched live from OpenAlex

Abstract This article is interested in the shift of the object of hostility, which historically fuelled Quebec nationalism. The main targets of discontent have long been the ‘rest of Canada’ and the lower socio‐economic status of Francophones. After the 1995 independence referendum, the feeling of dissatisfaction with Canada, and even resentment, gradually faded. This retreating within Quebec's borders has led many French‐speaking Quebecers to become concerned about the conditions that make possible the preservation of their cultural and linguistic heritage in North America. This shift has meant that the source of concern is now individuals and groups who do not share this heritage rooted in Western Judeo‐Christian values or who are perceived not to adhere to the concerns related to the preservation and development of the French character and the dominant values within the ‘Quebec nation’. The expression of these concerns has manifested itself primarily in debates about the place religion should occupy in public and civic spaces since the mid‐2000s.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.874

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0090.004
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.020
GPT teacher head0.256
Teacher spread0.236 · 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

Citations13
Published2022
Admission routes2
Has abstractyes

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