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The Relationship Between Episodic and Dispositional Forgiveness, Psychosocial Development, and Counseling

2012· article· en· W1978284019 on OpenAlex
John M. Poston, William E. Hanson, Valerie L. Schwiebert

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

VenueCounseling and Values · 2012
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsForgivenessPsychologyPsychosocialErikson's stages of psychosocial developmentSocial psychologyDevelopmental psychologyClinical psychologyPsychotherapist

Abstract

fetched live from OpenAlex

The relationship between episodic and dispositional forgiveness and the resolution of Erikson's (1963) psychosocial crises were explored in this study. Participants (N = 66) completed the Enright Forgiveness Inventory ( Enright & Rique, 2004 ), Tendency to Forgive Scale ( Brown, 2003 ), and Measures of Psychosocial Development ( Hawley, 1988 ). Results are consistent with forgiveness and Eriksonian theories. Episodic forgiveness and dispositional forgiveness accounted for 8% and 10%, respectively, of the variance in global resolution of psychosocial crises. The most pronounced relationship was between both forgiveness types and Erikson's crises related to basic trust and ego integrity. Implications for counseling research, practice, and training are discussed.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.052
GPT teacher head0.342
Teacher spread0.290 · 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