Borderline personality disorder stigma: Examining the effects of diagnostic disclosure, behavior, and gender as sources of stigma in the general population.
Bibliographic record
Abstract
Borderline personality disorder (BPD) is a severe mental disorder characterized by a pervasive pattern of emotional and behavioral dysregulation. Dysfunction and distress may be compounded by stigmatizing beliefs held by members of the community. There is a lack of research focusing on stigmatizing beliefs about BPD held by the general population. This study addressed this gap by examining the relationship between BPD and a variety of stigma domains in a community sample. The current study explored whether (a) stigma is more strongly related to BPD symptomatic behavior or the diagnostic label of BPD, (b) attaching a diagnosis of BPD to symptomatic behavior or nonclinical behavior influences stigma, and (c) the gender of a vignette character influences the stigmatization of BPD. A total of 295 participants read vignettes and completed questionnaires assessing stigma type and intensity. Findings from the current study suggest that stigma is higher for BPD symptomatic behavior than for the diagnosis itself. Attaching a diagnostic label of BPD to BPD symptomatic behavior did not significantly impact the resultant stigma; however, the diagnosis was found to increase stigma for nonclinical behavior. Findings concerning BPD stigma and gender are in line with broader gender stereotypes. Specifically, there was greater pity for women displaying BPD behavior, whereas there was greater anger for men displaying the same behavior. BPD symptomatic behavior vignettes depicting a man also received a higher level of dangerousness and fear. Study limitations and future directions are discussed. (PsycInfo Database Record (c) 2024 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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".