Bibliographic record
Abstract
Borderline personality disorder (BPD) is a severe and complex disorder characterized by instability across many life domains, including interpersonal relations, behavior, and emotions. A core feature and contributor to BPD, emotion dysegulation (ED), consists of deficits in the ability to regulate emotions in a manner that allows the individual to pursue important goals or behave effectively in various contexts. Biosocial developmental models of BPD have emphasized a transaction of environmental conditions (e.g., invalidating environments and adverse childhood experiences) with key genetically linked vulnerabilities (e.g., impulsivity and emotional vulnerability) in the development of ED and BPD. Emerging evidence has begun to highlight the complex, heterotypic pathways to the development of BPD, with key heritable vulnerability factors possibly interacting with aspects of the rearing environment to produce worsening ED and an adolescent trajectory consisting of self-damaging behaviors and eventual BPD. Adults with BPD have shown evidence of a variety of cognitive, physiological, and behavioral characteristics of ED. As the precursors to the development of ED and BPD have become clearer, prevention and treatment efforts hold great promise for reducing the long-term suffering, functional impairment, and considerable societal costs associated with BPD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".