Sistematización de la evaluación de riesgo de violencia con instrumentos de juicio profesional estructurado en Cuenca, Ecuador
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.
Bibliographic record
Abstract
Introduction: The way professionals of mental health carry out violence risk assessment and intervention planning has an impact on judicial decisions, social wellbeing and professional responsibility. Objectives: To determine the reliability of the psychopathy evaluation instruments and structured professional guides in violence risk assessment used at the Institute of Criminology and Family Psychosocial Intervention of the University of Cuenca, Ecuador. Method: Previously trained pairs of psychologists and social workers assessed simultaneously 37 cases, who were transferred to the Institute, using structured violence risk assessment instruments -HCR 20 and SARA- and psychopathy evaluation instrument -Hare PCL-R-. Indicators of internal agreement and consistency were calculated. Results: The agreement of the assessment of the risk of violence towards the couple was excellent. The intraclass coefficient was respectively 0.76 and 0.90 for psychologists and social workers. The indicators for the different sections of the HCR-20 and SARA were also excellent, ranging between 0.75 and 0.94. The indicator for PCL-R total was 0.96. Conclusions: The results support the reliability of these instruments in Ecuador provided the users receive adequate training. The use of these instruments contributes to the systematization and transparency of the risk assessment procedures and the protection of the professional responsibility. [1] SARA: Spousal Assault Risk Assessment [2] Hare PCL-R: Hare Psychopathy Checklist-Revised
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it