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PARENTAL CARE AND PERSONALITY IN MELANCHOLIC AND NONMELANCHOLIC DEPRESSION

2003· article· en· W2052712299 on OpenAlexaff
Valerie E. Whiffen, Gordon Parker, Kay Wilhelm, Philip B. Mitchell, Gin S. Malhi

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2003
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMelancholiaPsychologyPersonalityMelancholic depressionDepression (economics)Clinical psychologyBig Five personality traitsAnxietyPsychiatryDevelopmental psychologySocial psychologyMood

Abstract

fetched live from OpenAlex

The authors hypothesized that low parental care is linked to nonmelancholic depression through depressive personality traits and personality dysfunction. This hypothesis was tested using path analysis with data provided from a sample of patients meeting DSM-IV criteria for major depression and distinguished on the basis of melancholic symptoms. The results supported their hypothesis. Lack of parental care was associated with self-critical traits, and higher levels of these traits were associated with personality dysfunction, which in turn was associated with nonmelancholic, but not melancholic, depression. Dependent traits were uniquely associated with the onset of an anxiety disorder before the first episode of depression. Researchers interested in the link between personality and depression are encouraged to focus their efforts on patients whose depressive episodes do not meet DSM-IV criteria for melancholia, and on the personality dimension of self-criticism rather than dependency.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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 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

Citations19
Published2003
Admission routes1
Has abstractyes

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