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Record W2605397748 · doi:10.1177/0265407517703492

Great expectations

2017· article· en· W2605397748 on OpenAlexafffund
Sarah A. Vannier, Lucia F. O’Sullivan

Bibliographic record

VenueJournal of Social and Personal Relationships · 2017
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of New BrunswickDalhousie University
FundersCanada Research Chairs
KeywordsRomancePsychologySocial psychologySocializationIdeal (ethics)IdealismQuality (philosophy)Developmental psychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Expectations for one’s romantic relationship, and the extent to which these expectations are actually met, are important predictors of relationship outcomes. Themes of romanticism (e.g., idealism, soul mates, love at first sight) emerge from our romantic socialization. But what happens when romantic relationships fall short of these ideals and expectations are unmet? The current study examined the association among unmet romantic expectations and relationship outcomes using an investment model framework. The sample comprised 296 U.S. young adults involved in dating relationships. Participants provided ratings of the romantic characteristics of their current, ideal, and potential alternative relationships. Unmet romantic expectations based on an ideal relationship were associated with lower relationship satisfaction, commitment, and investment. Unmet romantic expectations based on an alternative relationship were associated with lower relationship satisfaction, investment, and commitment and higher quality of alternatives. The results are discussed in terms of implications for researchers and clinicians/counselors.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient 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 score0.167
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.107
GPT teacher head0.430
Teacher spread0.323 · 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

Citations37
Published2017
Admission routes2
Has abstractyes

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