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Minority nationalism and immigrant integration in <scp>C</scp>anada

2011· article· en· W1552099563 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNations and Nationalism · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsMcGill UniversityQueen's University
Fundersnot available
KeywordsImmigrationCitizenshipNationalismPoliticsGovernment (linguistics)SociologyPolitical economyPolitical sciencePopulationIdentity (music)Gender studiesLaw

Abstract

fetched live from OpenAlex

Abstract Immigrant integration is currently a prominent issue in virtually all contemporary democracies, but countries in which the historic population itself is deeply divided – particularly those with substate nations and multiple political identities – present some interesting questions where integration is concerned. The existence of multiple and potentially competing political identities may complicate the integration process, particularly if the central government and the substate nation promote different conceptions of citizenship and different nation‐building projects. What, then, are the implications of minority nationalism for immigrant integration? Are the added complexities a barrier to integration? Or do overlapping identities generate more points of contact between immigrants and their new home? This article addresses this question by probing immigrant and non‐immigrant ‘sense of belonging’ in C anada, both inside and outside Q uebec. Data come from S tatistics C anada's E thnic D iversity S tudy. Our results suggest that competing nation‐building projects make the integration of newcomers more, rather than less, challenging.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.277
Teacher spread0.252 · 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