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Schizophrenia Spectrum Conditions

2012· other· en· W1596289979 on OpenAlexaff
Philip D. Harvey, Christopher R. Bowie

Bibliographic record

VenueHandbook of Psychology, Second Edition · 2012
Typeother
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsQueen's University
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)PsychosocialPsychosisCognitionPsychological interventionPsychologyClinical psychologyPsychiatrySchizophrenia spectrum

Abstract

fetched live from OpenAlex

Schizophrenia is a severe mental disorder marked by the presence of psychosis (delusions and hallucinations), disorganized behavior and language, emotional changes, and the presence of cognitive impairments and disability in everyday functioning. The disorder also occurs in several related variants, which include some of the features of the illness other than psychosis. Several features of schizophrenia and related conditions are important, particularly in the domains of cognitive deficits and disability. Recent innovations in the treatment of schizophrenia have focused on enhancing cognition. Whereas pharmacological interventions have met with limited success, cognitive remediation interventions have made considerable strides in the past decade. Like many other domains of research and treatment, advances in mapping the human genome and understanding the complexities of inheritance of behavioral traits have improved our understanding of schizophrenia. Although a complete profile of susceptibility genes is yet to be discovered, some genetic influences have been detected. The future of research and treatment in schizophrenia spectrum conditions will include advances in understanding the neuroscience of social behavior and social cognition, as well as developing combination therapies employing psychosocial/behavioral interventions and pharmacotherapy.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.1390.002

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 head0.026
GPT teacher head0.341
Teacher spread0.315 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2012
Admission routes1
Has abstractyes

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