El rol del perito psicólogo en Colombia
Bibliographic record
Abstract
Antes de abordar el propósito de esta disertación, es necesario hacer una introducción acerca del por qué es importante profundizar en la función del perito psicólogo en nuestro país. En primer lugar el Estado colombiano se encuentra frente a enormes dificultades para dar respuesta a los problemas sociales colombianos, muchos de estos conflictos llegan al sector justicia provenientes desde las mismas familias y se ven traducidos en delitos tales como Inasistencia Alimentaria,Violencia Intrafamiliar y más gravemente en Homicidios. En segundo lugar, los resultados de la implementación del Nuevo Sistema Penal de tipo Acusatorio que ya culminó sus cuatro fases en 2008, hacen imperioso clarificar los roles de los operadores del cambio, es el caso que nos ocupa al abordar el tema de los peritos en Colombia y más específicamente aún, el del perito psicólogo.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".