Emotion regulation difficulties and borderline personality disorder: The moderating role of race.
Bibliographic record
Abstract
Borderline personality disorder (BPD) is a disorder characterized by emotion regulation (ER) difficulties. Although research indicates that patterns of ER differ across racial groups, few studies have examined the role of race in the ER-BPD association. This study sought to address this gap. Participants in this study identified as either East Asian, White, or Black, and were recruited from sites in Western Canada and the Southern United States. Two samples were included in this study: (a) 194 university students who self-reported BPD features and (b) 88 adults from the community who underwent diagnostic interviews and had a BPD diagnosis. All participants self-reported ER difficulties. Results revealed that race moderated the link between some aspects of ER difficulties and BPD. For instance, relations between (a) nonacceptance of emotions and BPD affect instability, (b) limited access to ER strategies and BPD identity disturbance, and (c) low emotional awareness and BPD diagnosis were stronger among White (vs. Black or East Asian) participants. Implications of these findings for the diagnosis and treatment of BPD across racial groups are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".