MétaCan
Menu
Back to cohort

Cognitive impairment in schizophrenia:its impact on social functioning

2000· article· en· W2067018734 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueActa Psychiatrica Scandinavica · 2000
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyVigilance (psychology)CognitionCognitive remediation therapySchizophrenia (object-oriented programming)Working memoryMemory impairmentCohortClinical psychologyPsychiatryMedicineCognitive psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine cognitive impairment in schizophrenia and its impact on social functioning. METHOD: Cohort studies recording cognitive and social development, studies of predictors of poor community outcome, and evidence from brain imaging studies are reviewed. RESULTS: Executive function deficits, and poor performance in verbal memory, vigilance, and working memory tests are strong predictors of poor community outcome and impairment in skills learning. PET scans of regional cerebral blood flow suggest a dynamic imbalance between different cerebral areas rather than overall loss of brain function. CONCLUSION: Chronic cognitive impairment is the strongest predictor of social disability. Results suggest that the impairment of brain function associated with executive deficits is not necessarily irreversible and may therefore be treatable with appropriate drug therapy.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.341
Teacher spread0.319 · 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