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Record W2079386371 · doi:10.1300/j069v25n04_06

Personality Changes in Women Recovering from Substance-Related Dependence

2006· article· en· W2079386371 on OpenAlexaff
Patricia D. Borman, Monica L. Zilberman, Hermano Tavares, Alina Surís, Nady el‐Guebaly, Barbara Foster

Bibliographic record

VenueJournal of Addictive Diseases · 2006
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsFoothills Medical Centre
Fundersnot available
KeywordsPersonalityNeuroticismPsychologyAlternative five model of personalityTemperamentAddictionClinical psychologyTemperament and Character InventoryBig Five personality traitsPersonality disordersFlexibility (engineering)PsychiatryBig Five personality traits and cultureSocial psychology

Abstract

fetched live from OpenAlex

The present study explored the potential for change in personality in women in recovery. Dimensions of the Temperament and Character Model and the five-factor model of personality were examined at baseline and at follow-up after treatment for addiction. Within both models of personality, the factors which have been found to be the best predictors of the presence of a personality disorder (Self-Directedness within the Temperament and Character Model; Neuroticism within the five-factor model) showed significant change at follow-up which suggests the flexibility of personality and the potential for change of personality disorders within women seeking treatment for addiction.

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)0.000
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 score0.016
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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.

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
Published2006
Admission routes1
Has abstractyes

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