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Record W2982330408 · doi:10.1111/nana.12570

The two solitudes of Canadian nativism: Explaining the absence of a competitive anti‐immigration party in Canada

2019· article· en· W2982330408 on OpenAlexaffabout
Joshua C. Gordon, Sanjay Jeram, Clifton van der Linden

Bibliographic record

VenueNations and Nationalism · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsMcMaster UniversitySimon Fraser University
Fundersnot available
KeywordsPsychological nativismPopulismImmigrationNationalismExceptionalismPolitical economyPoliticsFederal electionArgument (complex analysis)MainstreamPolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

Abstract Canada has been celebrated in popular and academic work for its relative immunity to nativist populism. No competitive nativist party has recently emerged in federal politics that challenges the mainstream consensus around mass immigration, unlike virtually every other postindustrial democracy. This paper argues that existing explanations for this “exceptionalism” are lacking. In particular, they fail to appreciate the importance of Quebec nationalism in contributing to this outcome. Quebec nationalism fractured the stronger anti‐immigration sentiment found in rural and smaller urban areas in both Quebec and Anglophone Canada and thereby prevented right‐wing parties from mobilising that sentiment in a way that could feasibly win elections. This forced such parties to moderate their message and court “ethnic voters” in suburban ridings around Toronto and Vancouver. We illustrate this argument using novel data which permit a comparison of the Canadian experience with nativist politics in Australia and New Zealand.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.587

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 studies0.0170.008
Scholarly communication0.0050.001
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 head0.017
GPT teacher head0.279
Teacher spread0.262 · 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

Citations18
Published2019
Admission routes2
Has abstractyes

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