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Record W3186789129 · doi:10.1097/nmd.0000000000001391

Preliminary Evidence for Heterogeneity of Beliefs About Auditory Verbal Hallucinations Intent

2021· article· en· W3186789129 on OpenAlexaff

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2021
Typearticle
Languageen
FieldNeuroscience
TopicHallucinations in medical conditions
Canadian institutionsUniversité de MontréalInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsPerceptionDistressingAffect (linguistics)Resistance (ecology)Delusion

Abstract

fetched live from OpenAlex

ABSTRACT: Perceptions of patient's auditory verbal hallucinations (AVHs), commonly termed voices, have important impacts on their everyday lives. Despite research emphasizing the consequences of malevolent voices, preliminary results suggest that beliefs about voices may not be mutually exclusive. As such, we aimed to characterize the heterogeneity of beliefs about AVHs and describe their clinical correlates. We recruited 78 patients referred to a Voices group therapy for refractory and distressing voices. Based on the Revised Beliefs About Voices Questionnaire, clustering analysis yielded four subgroups of patients with distinct pattern of beliefs about AVHs. These subgroups differed significantly in terms of affective disturbances, engagement, and resistance to their voices. Furthermore, no significant changes in beliefs about voices were observed after 6 weeks. Results of the current study suggest that the heterogeneity regarding the beliefs about AVHs should be targeted in treatment to reduce their associated negative outcomes.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.078
GPT teacher head0.356
Teacher spread0.278 · 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 designBench or experimental
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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

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