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Record W2235487071 · doi:10.4236/psych.2015.613164

Gender Differences in Formal Thinking: Their Impact on Right-Wing Authoritarianism and Religious Fundamentalism

2015· article· en· W2235487071 on OpenAlexaff
K. Robert Bridges, Richard J. Harnish

Bibliographic record

VenuePsychology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsKensington Health
Fundersnot available
KeywordsFundamentalismAuthoritarianismPsychologyIdeologyPoliticsCognitionNeed for cognitionSocial psychologyTest (biology)LawDemocracyPolitical science

Abstract

fetched live from OpenAlex

The present study investigated the relationship between cognitive development and political and religious ideology, and whether there are gender differences in formal thinking which may be related to right-wing authoritarianism and religious fundamentalism. The conceptual and empirical literature suggests that many aspects of cognition which play a role in the formation of conservative political and religious ideology are also present in those who engage in Piagetian concrete thinking (versus formal thought). The sample consisted of 116 late adolescents and young adults enrolled at a large public university. Results found that only 40% of participants had achieved formal thought on a traditional test of formal thinking, and that women who had lower scores on this test scored higher on measures of right-wing authoritarianism and religious fundamentalism. There was no such relationship for men. The present study shows the value of this approach and suggests the need for a pragmatic test of formal thought focused on political and religious ideologies.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.096
GPT teacher head0.400
Teacher spread0.303 · 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 designObservational
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

Citations6
Published2015
Admission routes1
Has abstractyes

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