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Record W2075170711 · doi:10.1037/0022-3514.84.4.793

Invisible overtures: Fears of rejection and the signal amplification bias.

2003· article· en· W2075170711 on OpenAlexaff
Jacquie D. Vorauer, Jessica J. Cameron, John G. Holmes, Deanna G. Pearce

Bibliographic record

VenueJournal of Personality and Social Psychology · 2003
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of WaterlooUniversity of Manitoba
Fundersnot available
KeywordsPsychologyAnxietyLonelinessSocial psychologyMediationSocial rejectionSocial anxietyCognitive biasDevelopmental psychologySocial relationCognition

Abstract

fetched live from OpenAlex

Four studies demonstrated that fears of rejection prompt individuals to exhibit a signal amplification bias, whereby they perceive that their overtures communicate more romantic interest to potential partners than is actually the case. The link between rejection anxieties and the bias was evident regardless of whether fears of rejection were assessed in terms of chronic attachment anxiety or were induced by reflection on a previous rejection experience. Mediation analyses suggested that the bias stems in part from an expected-augmenting process, whereby persons with strong fears of rejection incorrectly assume that the recipient of their overtures will take their inhibitions into account when interpreting their behavior. Implications for understanding the link between attachment anxiety and loneliness and for designing social skills interventions are discussed.

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 score0.645
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.000
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 head0.074
GPT teacher head0.420
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

Citations68
Published2003
Admission routes1
Has abstractyes

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