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Forgiveness and Therapy: A Critical Review of Conceptualizations, Practices, and Values Found in the Literature

2007· review· en· W2158979180 on OpenAlexaff
Terri‐Ann Legaree, Jean Turner, Susan Lollis

Bibliographic record

VenueJournal of Marital and Family Therapy · 2007
Typereview
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsForgivenessViewpointsPsychologyPsychotherapistSet (abstract data type)Diversity (politics)Power (physics)Family therapySocial psychologyEpistemologySociologyComputer science

Abstract

fetched live from OpenAlex

This article is a critical review of how forgiveness is conceptualized in the family therapy, counseling, and clinical psychology literature. A systematic analysis of themes in a fairly comprehensive set of texts was carried out. Three main dimensions emerged along which therapist authors' viewpoints can be located: essentiality, intentionality, and benevolence. Therapy practices and values that correspond with positions along these dimensions are presented. The analysis reveals that greater exploration is needed regarding how forgiveness is related to diversity (e.g., gender, culture, religion, etc.), marginalization, and relations of power. Our objective is to provide a conceptual map for clinicians so that they might locate their own thinking about forgiveness and be better equipped to work sensitively with the forgiveness views and values of their clients.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0110.008
Science and technology studies0.0020.007
Scholarly communication0.0050.007
Open science0.0020.002
Research integrity0.0030.004
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 head0.152
GPT teacher head0.457
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations59
Published2007
Admission routes1
Has abstractyes

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