Dialectical Behavior Therapy and Treatment of Emotion Dysregulation
Bibliographic record
Abstract
Developed to treat highly suicidal patients and often associated with the treatment of borderline personality disorder (BPD), dialectical behavior therapy (DBT) has evolved into a transdiagnostic treatment addressing emotion dysregulation. DBT is an emotion-focused, comprehensive cognitive-behavioral treatment including individual therapy, group skills training, between-session skills coaching (phone coaching), and a therapist consultation team. Several elements of DBT address emotion dysregulation directly or indirectly, including emotion regulation skills, distress tolerance strategies to dampen physiological arousal and curb impulses to engage in problematic behaviors, and individual therapy interventions to reduce emotion dysregulation. Growing evidence suggests that DBT may address behavioral, cognitive, physiological, and neurobiological aspects of emotion dysregulation. Future directions should include increasing multimethod research on the effects of DBT on emotion dysregulation, streamlining treatment, making DBT more efficient and targeted, and conceptualizing DBT’s place within the spectrum of other emotion-focused transdiagnostic treatments.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".