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Record W2007289705 · doi:10.1177/0020715210379456

Foundations of anti-immigrant sentiment: The variable nature of perceived group threat across changing European societies, 2002-2006

2010· article· en· W2007289705 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationBiology and political orientationEuropean Social SurveyPoliticsSocial psychologyPolitical scienceVariable (mathematics)Immigration policyDemographic economicsDevelopment economicsPolitical economyPositive economicsEconomicsPsychologyLaw

Abstract

fetched live from OpenAlex

In this article we examine how Europeans perceive the consequences of immigration. We draw upon group threat, conflict and boundary-making theories to differentiate between probable reasons of anti-immigrant sentiment. We hypothesize that perceived threats vary over time and across countries since their nature may shift according to changing economic and other conditions. Using data from three rounds and 24 countries of the European Social Survey, perceived threat is explained by socio-economic characteristics, political orientation and structural conditions. We then focus on more specific threats in economic and cultural terms and how they vary in their effects on negative attitudes toward immigration. Our findings support variable economic and cultural foundations of anti-immigrant sentiment exerting different influence associated with changing economic conditions. Implications of these findings for future policy and research are discussed in the light of the current economic crisis.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.395
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.359
Teacher spread0.336 · 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