Subgroups of Adolescent Girls With Borderline Personality Disorder Symptoms
Bibliographic record
Abstract
The aim of this study was to determine whether borderline personality disorder (BPD) can be differentiated from other disorders in a clinical sample of adolescent girls. Participants (N = 75) were grouped based on the pattern of BPD symptom endorsement using a latent class analysis. Four latent classes were identified. The most impaired class endorsed seven BPD symptoms and an average of three comorbid disorders. An intermediate class endorsed three BPD symptoms and had the highest prevalence of PTSD (41.7%). A third class reported two BPD symptoms and had a high prevalence of anxiety disorders (62%). The fourth class had no BPD symptoms and, on average, one comorbid disorder. Only a small subset of these teenage girls met criteria for BPD, and they had distinct and severe impairment. The results suggest the modest likelihood of a BPD diagnosis in clinical samples of teenage girls, and to also be vigilant for PTSD.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".