MétaCan
Menu
Back to cohort
Record W4289260623 · doi:10.1521/pedi.2022.36.4.413

Comparison of the Phenomenology of Hallucination and Delusion Characteristics in People Diagnosed With Borderline Personality Disorder and Schizophrenia

2022· article· en· W4289260623 on OpenAlexaff
Zalie Merrett, David Castle, Neil Thomas, Wei Lin Toh, Josephine Beatson, Jillian H. Broadbear, Sathya Rao, Susan L. Rossell

Bibliographic record

VenueJournal of Personality Disorders · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsParanoiaPsychologyBorderline personality disorderDelusionPsychopathologyPsychosisSchizophrenia (object-oriented programming)Clinical psychologyAuditory hallucinationPsychiatryVisual Hallucination

Abstract

fetched live from OpenAlex

Hallucinations and delusions in borderline personality disorder (BPD) are understudied. The authors explore the phenomenology of multisensory hallucinations and delusions in individuals with BPD and compare them to those in individuals with schizophrenia spectrum disorders (SSD). Clinical psychopathology was also explored. Eighty-nine adults participated and were categorized into four groups: BPD with voices, BPD without voices, SSD with high BPD traits, and SSD with low BPD traits. Among individuals with BPD, 81% reported visual and tactile hallucinations, 75% reported olfactory hallucinations, and 94% experienced delusions. When comparing BPD with and without voices, there were no significant differences in nonpsychotic psychopathology. Slight differences were found when hallucinations in BPD were compared with hallucinations in SSD, but overall the experiences were similar across diagnoses. The BPD group also reported significantly higher rates of paranoia/suspiciousness and delusions of guilt than the SSD group. Multisensory hallucinations and delusions occur in BPD and should be explored when treating people with BPD.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.276
Teacher spread0.257 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations15
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Personality DisordersSame topicMental Health and PsychiatryFrench-language works237,207