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Record W4294339255 · doi:10.1177/17456916221100464

Destigmatizing Borderline Personality Disorder: A Call to Action for Psychological Science

2022· review· en· W4294339255 on OpenAlexaff
Sara R. Masland, Sarah E. Victor, Jessica R. Peters, Skye Fitzpatrick, Katherine L. Dixon–Gordon, Alexandra H. Bettis, Kellyann M. Navarre, Shireen L. Rizvi

Bibliographic record

VenuePerspectives on Psychological Science · 2022
Typereview
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsYork University
Fundersnot available
KeywordsPejorativeBorderline personality disorderCall to actionStigma (botany)PsychologyPsychological scienceAction (physics)Clinical psychologyPsychotherapistPsychiatrySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Despite recognition that borderline personality disorder (BPD) is one of the most stigmatized psychological disorders, destigmatization efforts have thus far focused on the views and actions of clinicians and the general public, neglecting the critical role that psychological science plays in perpetuating or mitigating stigma. This article was catalyzed by recent concerns about how research and editorial processes propagate stigma and thereby fail people with BPD and the scientists who study BPD. We provide a brief overview of the BPD diagnosis and its history. We then review how BPD has been stigmatized in psychological science, the gendered nature of BPD stigma, and the consequences of this stigmatization. Finally, we offer specific recommendations for researchers, reviewers, and editors who wish to use science to advance our understanding of BPD without perpetuating pejorative views of the disorder. These recommendations constitute a call to action to use psychological science in the service of the public good.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.008
Science and technology studies0.0030.006
Scholarly communication0.0000.000
Open science0.0050.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.185
GPT teacher head0.516
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations35
Published2022
Admission routes1
Has abstractyes

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