Refining behavioral dysregulation in borderline personality disorder using a sample of women with anorexia nervosa.
Bibliographic record
Abstract
One of the primary facets of borderline personality disorder (BPD) is behavioral dysregulation, a wide array of behaviors that are difficult to control and harmful to the individual. The purpose of this study was to explore the association between BPD and a variety of dysregulated behaviors, some of which have received little empirical attention. Using a large sample of individuals diagnosed with anorexia nervosa, 41 individuals diagnosed with BPD were compared to the rest of the sample on the presence of dysregulated behaviors using logistic regression analyses. Anorexia nervosa subtypes, age, and other Cluster B personality disorders were used as covariates. Results support an association between BPD and alcohol misuse, hitting someone/breaking things, provoking fights/arguments, self-injury, overdosing, street drug use, binge-eating, impulsive spending, shoplifting/stealing, and risky sexual behaviors. Differences between dichotomous and continuous measures of BPD yielded somewhat different results. Information on co-occurring anorexia nervosa and BPD was generated.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".