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Record W2168450919 · doi:10.1177/0146167210374238

A Signal Detection Analysis of Chronic Attachment Anxiety at Speed Dating: Being Unpopular Is Only the First Part of the Problem

2010· article· en· W2168450919 on OpenAlexafffund
M. Joy McClure, John E. Lydon, Jodene R. Baccus, Mark W. Baldwin

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2010
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyAmbivalenceLonelinessAnxietyAttractivenessSocial psychologyPhysical attractivenessAttendanceRomanceDevelopmental psychologyPsychiatryPsychoanalysis

Abstract

fetched live from OpenAlex

Initiating a romantic relationship invokes an approach-avoidance conflict between the desire for affiliation and the fear of rejection; optimally, people should selectively approach potential partners who reciprocate their interest. This may be difficult for anxiously attached people: They may be unpopular, and their ambivalence could lead to either a fearfully selective approach at the cost of missed opportunities or an unselective, indiscriminate approach at the cost of increasing rejection. Using a speed-dating paradigm, data were collected from 116 participants, and a signal detection framework was applied to examine the outcomes. For anxious participants, speed-dating attendance was motivated by loneliness. At speed dating, they were unpopular and unselective; they missed fewer opportunities but made more failed attempts. Anxious men made fewer matches than nonanxious men, whereas anxious women were buffered by having a response bias toward saying "yes" to potential partners. Attachment anxiety predicted outcomes above and beyond the powerful impact of attractiveness.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
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
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.353
Teacher spread0.330 · 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.

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

Citations47
Published2010
Admission routes2
Has abstractyes

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