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Record W3112025666 · doi:10.5964/jspp.v8i2.418

Security and attitudes toward globalization: A multilevel analysis

2020· article· en· W3112025666 on OpenAlexaff
James E. Cameron, Lucie Kocum, John W. Berry

Bibliographic record

VenueJournal of Social and Political Psychology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsSaint Mary's University
FundersRussian Science Foundation
KeywordsGlobalizationOpenness to experienceSocioeconomic statusWorld Values SurveyEconomic globalizationEconomic securityNational securityPolitical scienceDevelopment economicsEconomic growthSocial psychologyPsychologySociologyEconomicsLawPopulationDemography

Abstract

fetched live from OpenAlex

<p xmlns="http://www.ncbi.nlm.nih.gov/JATS1">Globalization implicates a number of social psychological processes and outcomes, including openness to ideas, products, and people from outside one’s national boundaries. Drawing from theory and research on intergroup threat, the researchers posited that people will be more open to connections between their nation and others if they feel their economic situation and culture are relatively secure. They found some support for these hypotheses in 2 sets of archival survey responses collected by the Pew Global Attitudes Project in 2002 (40 countries; N = 34,073) and 2009 (25 countries; N = 22,500). Personal economic security and perceived national economic security were associated with more positive attitudes toward globalization in both survey years. However, country-level variables—development status (as indexed by the United Nations’ Human Development Index) and aggregated economic and cultural security—moderated the individual-level effects in several ways. Individual perceptions of national economic security more strongly predicted attitudes toward globalization in more favourable climates (e.g., in more developed countries, and at higher levels of country-level national economic security). Individual-level cultural security was positively associated with attitudes toward globalization in countries with higher levels of socioeconomic development, but negatively related to those attitudes in less developed nations. The results provide some new perspectives on individual and collective factors that inform the perceived benefits of globalization.

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 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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.093
GPT teacher head0.452
Teacher spread0.359 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations5
Published2020
Admission routes1
Has abstractyes

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