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Record W3000774729 · doi:10.1097/nmd.0000000000001114

Pathological Narcissism and Symptoms of Major Depressive Disorder Among Psychiatric Outpatients

2020· article· en· W3000774729 on OpenAlexaff
David Kealy, Olivier Laverdière, Aaron L. Pincus

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2020
Typearticle
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsUniversité de SherbrookeUniversity of British Columbia
Fundersnot available
KeywordsGrandiosityNarcissismPathologicalPsychologyNarcissistic personality disorderDepression (economics)Major depressive disorderVulnerability (computing)FeelingClinical psychologyDepressive symptomsPsychopathologyPsychiatryAnxietyMedicinePersonalityPersonality disordersSocial psychologyMoodInternal medicine

Abstract

fetched live from OpenAlex

Research is scarce regarding the mechanisms by which pathological narcissism--consisting of narcissistic grandiosity and vulnerability--is linked with depression. The present study examined whether impaired emotional processing would mediate relations between pathological narcissism domains and depressive symptoms in a sample of 99 psychiatric outpatients. A significant indirect effect was found for narcissistic vulnerability on depressive symptoms, through unprocessed emotion as a mediator. Findings suggest that narcissistic vulnerability contributes to persistent and intrusive negative feelings, which in turn contribute to depressive symptom severity.

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 score0.058
Threshold uncertainty score0.299

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 head0.017
GPT teacher head0.285
Teacher spread0.268 · 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

Citations20
Published2020
Admission routes1
Has abstractyes

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