Toward an Empirically Based Classification of Personality Disorder
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.
Bibliographic record
Abstract
A framework for an empirically based classification of personality disorder is proposed that has two components: (a) a definition of personality disorder, and (b) a scheme for describing individual differences in personality disorder traits. It is suggested that the diagnosis process should begin by establishing the presence of personality disorder and then proceed to a description of the personality on a set of trait dimensions. It is argued that a definition of personality disorder should reflect an understanding of the nature of the "harmful dysfunction" implied by a diagnosis of personality disorder. With this approach, personality disorder is defined as the failure to solve life tasks involving the development of integrated representations of self and others, and the capacity for adaptive kinship and societal relationships. The second component of a classification is a system to describe individual differences. It is suggested that these should be based on taxonomies of normal and disordered traits, and that the classification incorporates both higher-order patterns and more specific basic traits. Given that personality appears to be inherited as a large number of genetic dimensions, it is suggested that the primary level for describing individual differences is that of the basic or lower-level traits rather than broader or higher-level traits used in descriptions of normal personality.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it