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Record W2159617217 · doi:10.1177/0963721412469810

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2013· article· en· W2159617217 on OpenAlexaff
Bastiaan T. Rutjens, Frenk van Harreveld, J. van der Pligt

Bibliographic record

VenueCurrent Directions in Psychological Science · 2013
Typearticle
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsControl (management)PerceptionAgency (philosophy)PsychologyOrder (exchange)Sense of agencyContext (archaeology)Social psychologyFunction (biology)PredictabilitySociologySocial scienceComputer scienceBusiness

Abstract

fetched live from OpenAlex

People are motivated to maintain the belief that they live in an orderly world in which things are under control. Previous research has shown that perceptions of order can be maintained via two routes: affirming personal control over one’s life and future outcomes, and bolstering one’s belief in external systems or agents that exert control over the world. Both religion and sociopolitical institutions can provide subjective and socially sanctioned security in the context of low personal control or disorder in one’s environment. In this article, we argue that belief in science and progress could serve a similar function. Science is not only assumed to simplify people’s lives; it also creates a sense of order and predictability. We show that perceiving order (regardless of external agency) can be sufficient to combat lack of control, and that perceptions of order can be derived from science and from more general beliefs about progress. We also discuss findings from our research addressing the processes underlying these effects and the functionality of compensatory beliefs and perceptions. We conclude that endorsing scientific theories and beliefs in societal and scientific progress helps people regulate threats to order and control, as long as these theories and beliefs suggest that the world is (or will be) an orderly place.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.043
GPT teacher head0.419
Teacher spread0.375 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations45
Published2013
Admission routes1
Has abstractyes

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