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Record W2155833906 · doi:10.1177/0265407505056439

Compassionate love for close others and humanity

2005· article· en· W2155833906 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Social and Personal Relationships · 2005
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsProsocial behaviorEmpathyHumanityAltruism (biology)PsychologySocial psychologyCompassionScale (ratio)Empathic concernHelping behaviorPerspective-takingTheology

Abstract

fetched live from OpenAlex

A compassionate love scale was developed that can be used, in alternative forms, to assess compassionate or altruistic love for different targets (e.g., close others and all of humankind). Using three samples (total N= 529), the Compassionate Love scale was developed and piloted. Three studies (total N = 700) were then conducted to provide validation of the scale and to examine correlates of compassionate love. In support of our predictions, compassionate love was found to be associated positively with prosocial behavior, as directed both to close others and to all of humanity. Those who were more religious or spiritual experienced more compassionate love than those who were less religious or spiritual. Evidence was found that compassionate love is distinct from empathy. In the final study, we introduced a relationship-specific version of the Compassionate Love scale, and found that compassionate love for a specific close other was associated with the provision of social support for that person.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.081
GPT teacher head0.408
Teacher spread0.327 · 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