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Record W2901058939 · doi:10.1177/0146167218802837

Low Self-Esteem Predicts Indirect Support Seeking and Its Relationship Consequences in Intimate Relationships

2018· article· en· W2901058939 on OpenAlexaff
Brian P. Don, Yuthika U. Girme, Matthew D. Hammond

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2018
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologySelf-esteemSocial psychologySocial supportSeekersFeelingSadnessPerceptionHelp-seekingDevelopmental psychologyAngerMental healthPsychotherapist

Abstract

fetched live from OpenAlex

Indirect support seeking involves sulking, whining, and/or displaying sadness to elicit social support. Ironically, this strategy tends to backfire by prompting rejection from close others. The current research examines how low self-esteem contributes to the use and relational consequences of indirect support seeking during couples' interactions. Results across two dyadic, observational studies (Study 1 = 76 couples, Study 2 = 100 couples) demonstrated that support seekers with lower self-esteem engaged in greater indirect support seeking, and seekers' greater indirect support seeking was associated with greater negative support from partners. Furthermore, partners' negative support was associated with lower seeker perceptions of partner responsiveness, but only when support seekers were low in self-esteem. These results demonstrate how low self-esteem individuals' attempts to protect themselves from social rejection by utilizing indirect support seeking may ironically elicit negative partner support, and undermine the feelings of acceptance that low self-esteem individuals crave.

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 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 score0.066
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.069
GPT teacher head0.390
Teacher spread0.322 · 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

Citations29
Published2018
Admission routes1
Has abstractyes

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