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Conflict in Group Therapy of Chronic Schizophrenics

2000· article· en· W23637639 on OpenAlex
Sheila Hassan, Caroline Cinq-Mars, Maxine Sigman

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

VenueAmerican Journal of Psychotherapy · 2000
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsJewish General Hospital
FundersMinistry of Education, IndiaMinistry of Earth Sciences
KeywordsPsychologyAggressionAngerCountertransferenceCoping (psychology)FeelingPsychotherapistAffect (linguistics)Clinical psychologySocial psychology

Abstract

fetched live from OpenAlex

This paper describes a pivotal group session in which there was a major conflict between two members of a group that has met for many years. The group serves chronically ill outpatients suffering primarily from schizophrenia or schizoaffective illness. The aftershocks of the explosive outburst, the leaders' understanding of the contributing factors, countertransference feelings, and coping mechanisms are described. The literature recommends two pathways concerning the expression of anger and aggression in groups of severely disturbed individuals: restriction of intense negative affect or expression of such affect as a helpful component of a therapeutic process. We reflect on this question in sharing detailed clinical material and conclude that coping with aggression in such groups is dependent not only on the group context, but also on the relative fragility, strength, and tolerance of both members and leaders. A crucial step in dealing with eruptive crises consists of reflecting upon the leaders conscious and unconscious intervention motives and affects.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.018
GPT teacher head0.345
Teacher spread0.327 · 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