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Record W2134383601 · doi:10.1037/a0019701

Anxious uncertainty and reactive approach motivation (RAM).

2010· article· en· W2134383601 on OpenAlexafffund
Ian McGregor, Kyle Nash, Nikki Mann, Curtis E. Phills

Bibliographic record

VenueJournal of Personality and Social Psychology · 2010
Typearticle
Languageen
FieldNeuroscience
TopicPsychology of Moral and Emotional Judgment
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council
KeywordsPsychologySocial psychologySalience (neuroscience)Prejudice (legal term)AggressionNarcissismCognitive psychology

Abstract

fetched live from OpenAlex

In 4 experiments anxious uncertainty threats caused reactive approach motivation (RAM). In Studies 1 and 2, academic anxious uncertainty threats caused RAM as assessed by behavioral neuroscience and implicit measures of approach motivation. In Study 3 the effect of a relational anxious uncertainty threat on approach-motivated personal projects in participants' everyday lives was mediated by the idealism of those projects. In Study 4 the effect of a different relational anxious uncertainty threat on implicit approach motivation was heightened by manipulated salience of personal ideals. Results suggest a RAM account for idealistic and ideological reactions in the threat and defense literature. Speculative implications are suggested for understanding diverse social and clinical phenomena ranging from worldview defense, prejudice, and meaning making to narcissism, hypomania, and aggression.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.131
GPT teacher head0.343
Teacher spread0.212 · 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

Citations200
Published2010
Admission routes2
Has abstractyes

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