MétaCan
Menu
Back to cohort
Record W1503022824 · doi:10.1111/eip.12020

Early traumatic experiences in those at clinical high risk for psychosis

2013· article· en· W1503022824 on OpenAlexaff
Jean Addington, Jacqueline Stowkowy, Kristin S. Cadenhead, Barbara A. Cornblatt, Thomas H. McGlashan, Diana O. Perkins, Larry J. Seidman, Ming T. Tsuang, Elaine F. Walker, Scott W. Woods, Tyrone D. Cannon

Bibliographic record

VenueEarly Intervention in Psychiatry · 2013
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Calgary
FundersNational Center for Research ResourcesUniversity of California, San DiegoNational Institute of Mental HealthUniversity of California, Los Angeles
KeywordsPsychosisPsychopathologyAnxietyPsychiatryClinical psychologyDepression (economics)PsychologyAssociation (psychology)MedicinePsychotherapist

Abstract

fetched live from OpenAlex

AIM: Several lines of evidence suggest a possible association between a history of trauma in childhood and later psychosis or psychotic-like experiences. The purpose of this study was to determine the extent of childhood trauma and bullying in young people at clinical high risk (CHR) of developing psychosis. METHODS: The sample consisted of 360 individuals who were at CHR of developing psychosis and 180 age- and gender-matched healthy controls. All participants were assessed on past trauma and bullying. The CHR participants were also assessed on a range of psychopathology and functioning. RESULTS: Individuals at CHR reported significantly more trauma and bullying than healthy controls. Those who had experienced past trauma and bullying were more likely to have increased levels of depression and anxiety and a poorer sense of self. CONCLUSIONS: These results offer preliminary support for an association between a history of trauma and later subthreshold symptoms.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.045
GPT teacher head0.390
Teacher spread0.345 · 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

Citations110
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueEarly Intervention in PsychiatrySame topicSchizophrenia research and treatmentFrench-language works237,207