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Containing Psychotic Patients with Fragile Boundaries: A Single–Session Group Case Study

2013· article· en· W1736689608 on OpenAlex
Anaïs Lavarenne, Emily Segal, 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 · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsMcGill UniversityUniversité de MontréalJewish General Hospital
Fundersnot available
KeywordsMentalizationId, ego and super-egoGroup psychotherapyPsychologyObject relations theoryPsychotherapistSelfSchizophrenia (object-oriented programming)PsychosisSocial psychologyPsychiatryPsychoanalytic theory

Abstract

fetched live from OpenAlex

This case study describes a single group psychotherapy session of six individuals suffering from schizophrenia or schizoaffective illness, which was characterized by numerous manifestations of fragile Ego boundaries. Based on these illustrations of fragile Ego boundaries, we explore some of the group's core therapeutic actions against psychosis. We discuss how the group (1) provides access to a structuring auxiliary Ego, (2) acts as a containing object by establishing firm boundaries and by mentalizing patients' psychotic productions, and (3) may become a solid object representation introjected by individuals wrestling with porous Ego boundaries and a poor sense of self. We conclude that, in addition to the known role of group therapy in increasing mature defenses, developing insight and providing social support, the group promotes healthier Ego boundaries, and eventually improves self-differentiation, and also tolerance to interpersonal proximity. This case study clarifies group therapy dynamics with individuals suffering from psychosis.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.998

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.272
Teacher spread0.254 · 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