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Record W2023162742 · doi:10.1521/ijgp.53.4.417.42832

NEO-Five Factor Personality Traits as Predictors of Response to Two Forms of Group Psychotherapy

2003· article· en· W2023162742 on OpenAlex
John S. Ogrodniczuk, William E. Piper, Anthony S. Joyce, Mary McCallum, John S. Rosie

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

VenueInternational Journal of Group Psychotherapy · 2003
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsAgreeablenessPsychologyNeuroticismConscientiousnessExtraversion and introversionPersonalityPsychotherapistClinical psychologyGroup psychotherapyOpenness to experienceBig Five personality traitsPersonality Assessment InventoryGriefSocial psychology

Abstract

fetched live from OpenAlex

The relationships between patient personality variables and outcome for 107 psychiatric outpatients with complicated grief who completed either interpretive or supportive short-term group therapy were investigated. The personality variables were assessed prior to treatment with the NEO-Five Factor Inventory (NEO-FFI). For patients in both forms of therapy, extraversion, conscientiousness, and openness were directly associated with favorable treatment outcome. In contrast, neuroticism was inversely related to favorable outcome for patients in both forms of therapy. Agreeableness was directly related to favorable improvement in grief symptomatology for patients in interpretive therapy, but not for those in supportive therapy. The results highlight the importance of assessing patient personality in order to predict response to short-term group therapy. Possible explanations and clinical implications of these findings 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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.405
Teacher spread0.382 · 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