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Record W4395074538 · doi:10.1177/01461672241239122

Relationships on a Pedestal: The Associations Between Relationship Pedestal Beliefs, Fear of Being Single, and Life Satisfaction in Single and Coupled Individuals

2024· article· en· W4395074538 on OpenAlexafffund
Brittany E. Dennett, Yuthika U. Girme

Bibliographic record

VenuePersonality and Social Psychology Bulletin · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research CouncilNational Institute on Drug AbuseSocial Sciences and Humanities Research Council of CanadaSimon Fraser University
KeywordsPedestalPsychologySocial psychologyLife satisfaction

Abstract

fetched live from OpenAlex

The fear of being single can put people at risk for worse personal and relational well-being. The current research moves beyond individual-deficit models by exploring whether endorsement of relationship pedestal beliefs—the belief that people need to be in a relationship to be truly happy—is associated with greater fear of being single. Across four studies ( N = 641 single individuals and 256 coupled individuals), single individuals’ endorsement of relationship pedestal beliefs was associated with greater fear of being single, and greater fear of being single was associated with lower daily life satisfaction (Studies 1–4). Coupled individuals’ endorsement of relationship pedestal beliefs was also associated with greater fear of being single, and greater fear of being single was associated with lower daily life and relationship satisfaction (Study 4). These findings highlight how people’s endorsement of societal beliefs that place relationships on a pedestal may contribute to fears about singlehood.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.086
GPT teacher head0.324
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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

Citations18
Published2024
Admission routes2
Has abstractyes

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