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Record W4391915594 · doi:10.1093/ijpor/edae005

Effects of Gender, Education, Income, Social Rank, Financial Stress, and Shame on Beliefs About the Autonomy of One’s Opinions and Their Expression

2024· article· en· W4391915594 on OpenAlexaff
William Magee

Bibliographic record

VenueInternational Journal of Public Opinion Research · 2024
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsShameRank (graph theory)AutonomySocial psychologyPsychologyStress (linguistics)Expression (computer science)Political scienceLawComputer scienceMathematics

Abstract

fetched live from OpenAlex

Abstract Individuals’ beliefs about their opinion-related tendencies should interest public opinion researchers for at least two reasons. First, these beliefs could influence opinion-related behaviors. Second, they are likely to indicate tendencies that transcend specific situations and pertain to a wide range of subjects for which opinions can be held. This study investigates the associations of demographic characteristics, material and social resources, and subjective experiences with the belief that one tends to develop independent opinions (i.e., opinion autonomy) and expresses one’s minority opinions (i.e., expressed autonomy). Effects are estimated through analyses of three waves of data collected from a sample of the U.S. adult population. Education, age, community rank, financial stress, and shame are revealed to have effects of similar magnitude on expressed autonomy and opinion autonomy. Gender is the only variable investigated associated with only one form of autonomy—expressed autonomy. The findings are interpreted through the lenses of identity and affect control theories. Processes related to maintaining authenticity, perceived self-worthiness, and confidence in oneself as an independent thinker and agent are theorized as underlying the results.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.146
GPT teacher head0.493
Teacher spread0.347 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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