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Record W2680904372 · doi:10.1177/1359105317714319

Revenge is sour, but is forgiveness sweet? Psychological health and cortisol reactivity among women with experiences of abuse

2017· article· en· W2680904372 on OpenAlexaff
Renate Ysseldyk, Kimberly Matheson, Hymie Anisman

Bibliographic record

VenueJournal of Health Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsMental Health Research CanadaRoyal Ottawa Mental Health CentreCarleton University
Fundersnot available
KeywordsForgivenessReactivity (psychology)PsychologyClinical psychologyPsychiatryMedicineSocial psychologyAlternative medicine

Abstract

fetched live from OpenAlex

This study examined the relations among women’s experiences of abuse, forgiveness, revenge, psychological health, and physiological stress reactivity. Both dispositional (Study 1; N = 103) and state (Study 2; N = 258) forgiveness and vengeance were associated with psychological symptoms. However, the relation between revenge and greater depression was magnified among psychologically abused women, whereas—unexpectedly—the positive link between forgiveness and psychological health was strengthened among physically abused women. Moreover, while revenge coincided with increased cortisol reactivity following any relationship conflict, this was only evident for forgiveness following physical abuse. The complex interactions among these variables are discussed within a stress and coping framework.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.425
Teacher spread0.365 · 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.

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

Citations14
Published2017
Admission routes1
Has abstractyes

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