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Record W2139336965 · doi:10.1177/0265407507072615

The attraction-similarity hypothesis among cross-sex friends: Relationship satisfaction, perceived similarities, and self-serving perceptions

2007· article· en· W2139336965 on OpenAlexaff
Marian M. Morry

Bibliographic record

VenueJournal of Social and Personal Relationships · 2007
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsychologySimilarity (geometry)FriendshipAttractionSocial psychologyPerceptionInterpersonal attractionDevelopmental psychology

Abstract

fetched live from OpenAlex

Individuals often project their own attitudes, behaviors, or relationship views onto close others. These perceptions may or may not be accurate but they influence relationship judgments. Based on the attraction-similarity hypothesis, three studies examine the role of friendship satisfaction in perceptions of similarity in terms of relationship beliefs, traits, and behaviors among cross-sex friends. Study 1 found that college students perceived their cross-sex friends to be similar to themselves. Interclass correlations indicated that these perceptions reflected a belief in the partner’s similarity to the self rather then being an accurate assessment. Supporting the attraction-similarity hypothesis, Studies 2 and 3 found that greater friendship satisfaction predicted greater perceived friend-self similarity for traits and behaviors. Finally, these perceptions were made in a self-enhancing fashion.

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)0.005
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
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 head0.060
GPT teacher head0.373
Teacher spread0.313 · 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

Citations115
Published2007
Admission routes1
Has abstractyes

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