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Record W177210209

Borderline Personality Disorder: A Mental Disorder or the Medicalization of Social Undesirability?

2014· article· en· W177210209 on OpenAlexaff
Nicole Barich

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicalizationBorderline personality disorderPsychologyPsychiatryPersonalityClinical psychologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

This article challenges the status of Borderline Personality Disorder (BPD) as a mental disorder in the DSM by examining the seemingly normative nature, symptomology, and epidemiology of the disorder, as well as by questioning its clinical validity in terms of diagnoses, symptoms and treatment. It discusses the implications of allowing normative assumptions to influence the medical science, and calls attention to the ‘moral’ nature of BPD and its associated symptoms. Empirical evidence is used to explore the clinical validity of BPD regarding treatment methods and success rates, as well as to examine the gender and age norms that appear to underline the epidemiology of the disorder. This article concludes that the parameters of BPD and its symptoms are indeed questionable and require further scrutiny by both philosophical and medical professionals, and that the idea of its removal from the DSM should be maintained as a consideration depending upon further analysis.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.012
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.027
GPT teacher head0.342
Teacher spread0.315 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations1
Published2014
Admission routes1
Has abstractyes

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