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Record W2042710055 · doi:10.1177/0003065110396875

Toward Developing a Scale to Empirically Measure Psychotic Defense Mechanisms

2010· article· en· W2042710055 on OpenAlexaff
Prometheas Constantinides, Stephen Beck

Bibliographic record

VenueJournal of the American Psychoanalytic Association · 2010
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversité de MontréalInstitut universitaire en santé mentale de Montréal
Fundersnot available
KeywordsOperationalizationPsychologyMechanism (biology)Psychoanalytic theoryRating scaleScale (ratio)Empirical researchSchizophrenia (object-oriented programming)Clinical psychologyCognitive psychologyDevelopmental psychologyPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

In recent years, research on psychological processes has greatly advanced our understanding of various psychopathologies. Defense mechanisms, for example, have been described as observable phenomena, and studies have shown meaningful relationships among these processes and other measurable dimensions of health and illness. Despite some notable exceptions, one area that has been overlooked is the empirical study of defenses in psychotic disorders. This is in part due to the lack of valid instruments measuring psychotic-level defenses. Propadeutic to creating an empirical scale for measuring psychotic defenses, the psychoanalytic and empirical literature on psychotic defenses is reviewed, after which the concept of psychotic defenses as measured by the P-DMRS (Psychotic-Defense Mechanism Rating Scales)--which can be used independently or in combination with the current DMRS (Defense Mechanism Rating Scales)--is operationalized. Finally, current research directions applying the P-DMRS to the clinical setting are presented, as well as its implications for guiding current clinical practice.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.328
Teacher spread0.306 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2010
Admission routes1
Has abstractyes

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