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Record W4365813326 · doi:10.1080/15298868.2023.2200032

Unpackaging the link between economic inequality and self-construal

2023· article· en· W4365813326 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

VenueSelf and Identity · 2023
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsCarleton University
FundersShota Rustaveli National Science FoundationHungarian Scientific Research FundUniversidad de GranadaNational Science FoundationMinisterio de Economía y CompetitividadConselho Nacional de Desenvolvimento Científico e TecnológicoNational Natural Science Foundation of ChinaGrantová Agentura České RepublikyJapan Society for the Promotion of ScienceUniversità degli Studi Roma Tre
KeywordsInequalityFeelingChristian ministryEconomic inequalityInterdependenceSocial psychologyPsychologyConstrual level theorySociologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Past research has shown that economic inequality shapes individuals’ self-construals. However, it has been unclear which dimensions of self-construal are associated with and affected by economic inequality. A correlational (Study 1: N = 264) and an experimental study (Study 2: N = 532) provided converging evidence linking perceived economic inequality with two forms of independent (vs. interdependent) self-construal: Difference from Others and Self-Reliance. In Study 3 (N = 12,634) societal differences in objective economic inequality across 48 nations predicted feelings of Difference from Others, but not Self-Reliance. Importantly, we found no significant associations of economic inequality with the other six dimensions of self-construal. Our findings help extend previous results linking economic inequality to forms of “social distance.”

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.338

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 studies0.0000.000
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 head0.069
GPT teacher head0.374
Teacher spread0.305 · 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