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Record W2010258952 · doi:10.1017/s0033291799002342

Attributions of causality, responsibility and blame for positive and negative symptom behaviours in caregivers of persons with schizophrenia

2000· article· en· W2010258952 on OpenAlexaff
Hélène Provencher, Frank D. Fincham

Bibliographic record

VenuePsychological Medicine · 2000
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAttributionBlamePsychologyCausality (physics)Schizophrenia (object-oriented programming)IntentionalityMoral responsibilityClinical psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Causal, responsibility and blame attributions for positive and negative symptom behaviours were examined in 70 caregivers of persons with schizophrenia. METHODS: The majority of subjects belonged to self-help group organizations. The three types of attributions for positive and negative symptom behaviours were assessed by self-report questionnaires. RESULTS: The extent of patient responsibility did not differ between the two types behaviours. Intentionality and knowledge were equally important in predicting responsibility for positive symptom behaviours, while intent was the most important predictor of responsibility for negative symptom behaviours with the patient capacity playing a significant but minor role. The entailment model was not supported for the two types of behaviours. CONCLUSIONS: Increased attention should be given to responsibility dimensions in assigning moral accountability to the patient. The entailment model should be further explored in problematical caregiving situations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score0.617

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.410
Teacher spread0.360 · 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.

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

Citations27
Published2000
Admission routes1
Has abstractyes

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