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Record W2902186576 · doi:10.1111/pere.12262

Type of jealousy differentially predicts cost‐inflicting and benefit‐provisioning mate retention

2018· article· en· W2902186576 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

VenuePersonal Relationships · 2018
Typearticle
Languageen
FieldPsychology
TopicEvolutionary Psychology and Human Behavior
Canadian institutionsNipissing UniversityUniversity of Ottawa
Fundersnot available
KeywordsJealousyPsychologyProvisioningSocial psychologyAngerDevelopmental psychologyComputer science

Abstract

fetched live from OpenAlex

Jealousy is argued to be an adaptive emotion that coordinates the use of mate retention acts, denoting behavior intended to guard a relationship from rivals, to prevent infidelity, and to hinder defection from the mateship. Nevertheless, few researchers have examined these relations. We sampled 144 women and men in romantic relationships and found that anxious (unease over potential infidelity) and preventive (preventing one's partner from consorting with others) but not reactive (anger over a partner being unfaithful) jealousy positively predicted cost‐inflicting mate retention. Only anxious jealousy positively predicted benefit‐provisioning acts. Sex moderated the relations between reactive jealousy with cost‐inflicting and benefit‐provisioning behavior, such that reactively jealous women used more of both kinds of mate retention.

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)0.000
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 score0.148
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 studies0.0010.000
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 head0.128
GPT teacher head0.363
Teacher spread0.235 · 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