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Record W1964910543 · doi:10.1002/ejsp.624

The moderating role of extrinsic contingency focus on reactions to threat

2009· article· en· W1964910543 on OpenAlexaff
Todd J. Williams, Jeff Schimel, Joseph Hayes, Andy Martens

Bibliographic record

VenueEuropean Journal of Social Psychology · 2009
Typearticle
Languageen
FieldPsychology
TopicDeath Anxiety and Social Exclusion
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyContingencyConceptualizationSocial psychologySalientRegulatory focus theoryFocus (optics)Focus groupTest (biology)Developmental psychology

Abstract

fetched live from OpenAlex

Abstract Over the last decade a number of theorists have advanced a multifaceted conceptualization of self‐esteem. Central to this idea is the notion that self‐esteem is less secure and more defensive when individuals are more focused on extrinsic contingencies. To test the hypothesis that individuals with high dispositional levels of extrinsic contingency focus (ECF) are insecure and respond defensively to threat, we developed a measure of ECF and conducted two validation studies. Study 1 showed that the extrinsic contingency focus scale (ECFS) was positively correlated with measures of defensiveness and was negatively correlated with measures of security and well‐being. Study 2 showed that people with a high (vs. low) focus on extrinsic contingencies were more likely to defensively distance from a socially insensitive person following negative feedback about their own social sensitivity. Study 3 showed that when mortality (vs. dental pain) was salient, high ECF individuals responded more defensively toward a worldview violator than low ECF individuals. Discussion is focused on theoretical issues related to ECF and defensiveness. Copyright © 2009 John Wiley & Sons, Ltd.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.867
Threshold uncertainty score0.425

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.347
Teacher spread0.316 · 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 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

Citations31
Published2009
Admission routes1
Has abstractyes

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