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Good-Enough Therapy: A Review of the Empirical Basis of Good Psychiatric Management

2024· review· en· W4399504632 on OpenAlex
Uëli Kramer

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 · 2024
Typereview
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyBorderline personality disorderNarrativePsychotherapistNarrative reviewEmpirical researchPersonalityClinical psychologyPsychiatrySocial psychologyEpistemology

Abstract

fetched live from OpenAlex

In this review, the question of whether good psychiatric management (GPM) has a sufficient, or good-enough, evidence base is examined from two complementary perspectives. First, the author reviews research that has investigated whether GPM reduces symptoms of borderline personality disorder. Analyses at the group and individual levels have indicated that symptoms may decrease among patients receiving GPM. Second, the author reviews research that has investigated the processes through which change occurs in GPM. Studies that have shown process changes toward emotional balance, interpersonally effective functioning, and a more coherent and reality-based autobiographical narrative are discussed. To fully answer the question of whether GPM is good enough, more controlled trials are needed to demonstrate effectiveness, mechanisms of change, and broad implementation in culturally diverse populations.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.434
Teacher spread0.347 · 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