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Record W2113621819 · doi:10.1177/0265407514533768

Compassionate love in romantic relationships

2014· article· en· W2113621819 on OpenAlexaff
Beverley Fehr, Cheryl Harasymchuk, Susan Sprecher

Bibliographic record

VenueJournal of Social and Personal Relationships · 2014
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsCarleton UniversityUniversity of Winnipeg
Fundersnot available
KeywordsRomanceAgapePsychologyProsocial behaviorPhilosophy of loveSocial psychologyAltruism (biology)Context (archaeology)Attachment theoryEmpathyCompassionPsychoanalysisPhilosophy

Abstract

fetched live from OpenAlex

Compassionate love has been identified as one of the major types of love experienced in relationships (Berscheid, 2010), but one that has been overshadowed by the study of romantic love. In this article, we review research on compassionate love, a relative newcomer to the close relationships field, and present findings that more fully flesh-out the nature of the experience of this kind of love. We begin by discussing conceptions and measurement of compassionate love. We then present a study on the relation between compassionate love and love styles, with a focus on distinguishing between compassionate love and the agape (altruistic) love style. The literature on individual differences in compassionate love is discussed next. The spotlight then shifts to research on the link between compassionate love and prosocial relationship behaviors, relationship quality, and relationship stability. Differences between compassionate love given versus received also are highlighted. We end with a discussion of what compassionate love “looks like” in the context of a romantic relationship and recommend directions for future research.

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 score0.185
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 studies0.0000.000
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 head0.067
GPT teacher head0.376
Teacher spread0.309 · 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

Citations70
Published2014
Admission routes1
Has abstractyes

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