Alexitimia en personas en procesos de separación o divorcio
Bibliographic record
Abstract
Objetivos: Estudiar la dimension como variable en personas inmersas en un proceso legal de separacion o divorcio. Material y Metodos: Escala de Alexitimia de Toronto de 20 elementos (TAS-20) y Escala de Ansiedad de Hamilton (HARS) aplicadas a 32 clientes de un bufete. Media (X), desviacion tipica (DT), porcentaje de positivos (%),prueba de Kolmogorov-Smirnov pruebas t de Student con p menor de O.05 e indice r de correlacion lineal de Pearson. Resultados: el nivel de alexitimia de los clientes se distribuye segun una variable de distribucion normal N con X=65.22 y DT=8.93 y su media es estadisticamente superior al de la poblacion general con un 68% de casos positivos. No aparecen diferencias significativas entre mujeres y varones. La alexitimia y la ansiedad clinica muestran relacion directa y positiva, r=+0.66. Conclusion: El proceso de separacion o divorcio incrementa la alexitimia y la ansiedad reactiva. Dichos datos pueden ser muy utiles en la determinacion del alcance y la magnitud de la desviacion sexual en el perfil inicial de riesgo de reincidencia y en la planificacion de la intervencion especializada.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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; both teacher heads agree on what is shown here.
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".