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Record W4413896472 · doi:10.4324/9781003602279-12

Nationalist Attitudes and Nationalist Party Support through a Generational Lens

2025· book-chapter· en· W4413896472 on OpenAlexaboutno aff
Valérie-Anne Mahéo, Éric Bélanger

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHistorical Geopolitical and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNationalismPolitical scienceLens (geology)Gender studiesSociologyLawOpticsPhysicsPolitics

Abstract

fetched live from OpenAlex

The existence and persistence of nationalist movements among substate nations can have various explanations, one of which is related to generations—how they were socialized to politics in distinct societal contexts, and how older generations are replaced by younger ones. Hence, to understand better the evolution of nationalism in Quebec, this study draws on the last six Quebec Election Studies (2007–22) and uses an Age–Period–Cohort model to examine the relationship between generational groups and various indicators of nationalism. The results reveal that there is indeed a generational story to tell about nationalism in Quebec. The generation of the Baby Boomers is particularly distinct from other generations, in terms of its attachment to Quebec, its support for Quebec’s independence and its support of the Parti Québécois; whereas the Millennials are more supportive of Québec Solidaire and GenXers are more likely to support the Coalition Avenir Québec. There are currently distinct “nationalist generations” that cohabitate in Quebec.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.694

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.042
GPT teacher head0.320
Teacher spread0.278 · 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
Published2025
Admission routes1
Has abstractyes

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