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Record W2599990259 · doi:10.1080/00207284.2016.1260461

Feeling Worse Before Feeling Better: A Case of Increased Disorganized Mental States Following Group Psychotherapy

2016· article· en· W2599990259 on OpenAlexfundno aff
Giorgio A. Tasca, Hilary Maxwell, Megan Faye, Louise Balfour

Bibliographic record

VenueInternational Journal of Group Psychotherapy · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchOntario Mental Health Foundation
KeywordsFeelingPsychologyPsychotherapistGroup psychotherapyMental stateClinical psychologyMentalizationInterpersonal communicationPsychodynamicsMental healthPsychiatry

Abstract

fetched live from OpenAlex

Is group therapy effective if it results in members revealing greater unresolved/disorganized mental states related to childhood trauma? That is, do patients have to more fully experience partially disavowed trauma before they get better? We found a small proportion of patients whose pre-treatment Adult Attachment Interview (AAI) transcripts were not coded as Unresolved/Disorganized at the start of group treatment, but were coded as such at the end. In one case report, we examined pre- and six months post-AAI transcripts and group therapy interactions to document the emergence of an unresolved/disorganized mental state. Despite the increase in disorganization, the patient showed some symptom improvement and improved reflective functioning. The 16-week psychodynamic group therapy allowed the patient to reflect on her traumatic experiences and their impact on her life. However, this also resulted in a disorganizing effect on her mental state. Longer-term therapy may be necessary to improve interpersonal functioning and affect regulation in patients who experienced early trauma.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.341
Teacher spread0.328 · 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 designCase report
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

Citations7
Published2016
Admission routes1
Has abstractyes

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