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Record W2164193463 · doi:10.1177/0265407512465221

Insecure attachment predicts ambivalent social threat and reward perceptions in romantic relationships

2012· article· en· W2164193463 on OpenAlexaff
Geoff MacDonald, Kenneth D. Locke, Stephanie S. Spielmann, Samantha Joel

Bibliographic record

VenueJournal of Social and Personal Relationships · 2012
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAmbivalencePsychologyPerceptionRomanceSocial psychologyAttachment theorySet (abstract data type)Developmental psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Although theoretical perspectives on adult attachment forward relational ambivalence as a defining characteristic of at least some forms of insecurity, work demonstrating an ambivalent structure to the relational attitudes of insecure individuals has been rare. The current research examines the similarity and intensity of perceptions of social threat (i.e., concerns over rejection) and social reward (i.e., opportunities for intimacy) in romantic relationships. Using a sample of 1004 participants, evidence for relational ambivalence was found for both anxious and avoidant attachment. Individuals high in anxious attachment reported relatively similar and intense threat and reward perceptions, whereas individuals high in avoidant attachment showed evidence of similar, but not intense, threat and reward perceptions. Thus, the weighing of prospects for rejection and intimacy in romantic relationships arguably leads to what researchers traditionally think of as ambivalence for those high in attachment anxiety, but something more akin to indifference for those high in attachment avoidance. More broadly, this work provides a set of tools and methods for carefully examining ambivalence in close relationships.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.900

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.081
GPT teacher head0.384
Teacher spread0.303 · 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

Citations89
Published2012
Admission routes1
Has abstractyes

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