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Record W4405100174 · doi:10.1525/collabra.126234

Implicit Ideologies: Do Right-Wing Authoritarianism and Social Dominance Orientation Predict Implicit Attitudes?

2024· article· en· W4405100174 on OpenAlexafffund
Jesse S. Reid, Yoel Inbar

Bibliographic record

VenueCollabra Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersSocial Sciences and Humanities Research Council
KeywordsSocial dominance orientationAuthoritarianismIdeologyDominance (genetics)Social psychologyRight wingPsychologyOrientation (vector space)Political sciencePoliticsDemocracyLawGeometryMathematics

Abstract

fetched live from OpenAlex

Many social and political attitudes, beliefs, and behaviours can be predicted by Right-Wing Authoritarianism (RWA; a preference for authority and tradition) and Social Dominance Orientation (SDO; a preference for social hierarchies and inequality). These two constructs have predominantly been studied in the context of self-reported (explicit) attitudes, so the usefulness of RWA and SDO to predict individuals’ implicit attitudes remains relatively unclear and understudied. The current research is a Registered Report that uses a large dataset collected as part of Project Implicit to test the predictive power of RWA and SDO for implicit and explicit attitudes toward topics relating to authority, tradition and hierarchies (i.e., concepts most relevant to RWA and SDO). The findings of the current study suggest that RWA and SDO are in fact predictive of some implicit attitudes that are in line with the RWA and SDO ideologies, as well as most corresponding explicit attitudes.

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)0.003
metaresearch head score (Gemma)0.014
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 score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.027
GPT teacher head0.393
Teacher spread0.366 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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