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Record W1606330381 · doi:10.1177/070674370505000313

Book Review: Personality Disorders: Cognitive Therapy of Personality Disorders

2005· article· en· W1606330381 on OpenAlexvenueno aff
W. John Livesley

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2005
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsnot available
Fundersnot available
KeywordsPersonality disordersPsychologyPsychotherapistPersonalityPsychological interventionSadistic personality disorderPerspective (graphical)Cognitive therapyCognitionMultiple Personality DisorderPersonality psychologyClinical psychologyPsychoanalysisPsychiatry

Abstract

fetched live from OpenAlex

Cognitive Therapy of Personality Disorders. Second Edition. Aaron T Beck, Arthur Freeman, Denise D Davis, and Associates. New York: Guilford Press; 2004. 412 p. US$46.00. Reviewer rating: Fair This is a disappointing volume, even though it presents valuable concepts for understanding the cognitive component of personality disorder, as well as many useful interventions. The first edition, published in 1990, was a seminal contribution that offered a new perspective on the treatment of personality disorder, a topic previously dominated almost entirely by therapies based on psychoanalytic theory. In it, Beck and colleagues offered an innovative perspective that had a major impact. The limitation of the first edition was its modest evidential support for both overall approach and specific treatment strategies. Indeed, the authors noted that this was embarrassing in a mode of treatment that advocates empiricism. The widely anticipated second edition was expected to correct this deficiency by offering a theory that was more coherent and solidly grounded in empirical findings and evidence-based interventions. Alas, this volume fails to deliver. This edition has 16 chapters. The first 5 offer an overview of cognitive therapy for personality disorder, present the rudiments of a theory of personality disorder, discuss issues of assessment, outline general principles and specialized techniques, and explore the important issue of the therapeutic relationship. They are followed by 10 chapters, each describing the psychopathology and cognitive therapy of a specific disorder. All the DSM-IV personality disorders are considered, except for schizotypal and passive-aggressive personality disorder. The last chapter offers a brief synthesis and comments on prospects. Chapter 2 purports to describe a theory of personality disorder. The first edition offered a sketchy framework comprising a somewhat loosely arranged set of constructs and ideas. Although many of these ideas were useful, and probably essential, components of any theory, they were not systematically articulated. The corresponding chapter in this second edition offers little that is new. It combines the first edition's Chapters 2 and 3 and offers almost identical layout and subheadings-as if the field of personality disorder had remained unchanged for the last 15 years. In fact, ideas about the disorder's nature, origins, and classification have changed markedly and continue to do so. Many of these developments are barely referenced, let alone incorporated into the model or into intervention strategies. This is part of a more general problem: the book is written with scant attention to the context of scholarship in related fields. Particularly problematic is its neglect of current work on normal personality, especially research on cognitive approaches to personality. This research provides a body of knowledge about personality processes that could have greatly enriched the reviewed volume's framework and contributed to a more solid conceptual model. As with the first edition, much of this volume is organized in terms of DSM-IV diagnoses. …

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.058
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0580.044

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 head0.307
Teacher spread0.289 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations23
Published2005
Admission routes1
Has abstractyes

Explore more

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