MétaCan
Menu
Back to cohort
Record W1999200912 · doi:10.1159/000284813

Clinical Features of Situational and Nonsituational Major Depression

2010· article· en· W1999200912 on OpenAlexaff
Russel T. Joffe, Anthony Levitt, Michael Bagby, Joseph J. Regan

Bibliographic record

VenuePsychopathology · 2010
Typearticle
Languageen
FieldPsychology
TopicMental Health Research Topics
Canadian institutionsSt. Michael's HospitalCentre for Movement DisordersUniversity of Toronto
Fundersnot available
KeywordsSituational ethicsDepression (economics)PsychologyPersonalityClinical psychologyPsychiatryMajor depressive disorderAntidepressantAnxietySocial psychologyCognition

Abstract

fetched live from OpenAlex

Clinical lore has long supported the subtype of situational or reactive depression. To date, however, there has been limited empirical research support for this subtype of major depression. We examined demographic, clinical and personality features of situational and nonsituational depression in 89 outpatients with unipolar nonpsychotic major depressive disorder. Situational depressives had a less recurrent course of illness and appeared to respond more completely to the antidepressant used for their current episode. Demographic and personality measures did not distinguish situational and nonsituational depression.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.052
GPT teacher head0.482
Teacher spread0.430 · 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.

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

Citations10
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuePsychopathologySame topicMental Health Research TopicsFrench-language works237,207