LA ALEXITIMIA EN DROGODEPENDIENTES DE LA CLÍNICA DE TRATAMIENTO DE ALCOHOL Y DROGAS 12 PASOS DE LA CIUDAD DE CUENCA 2016
Bibliographic record
Abstract
La investigacion tiene como objetivo principal caracterizar la alexitimia en paciente drododependientes. La alexitimia es definida como la falta de palabras a las emociones y los sentimientos y consecuente a ello. Dicho estudio se realizo con pacientes varones de la Clinica de tratamiento de alcohol y drogas 12 pasos de la ciudad de Cuenca. Para medir y conocer el grado de alexitimia se aplico la escala evaluativa TAS-20 (Toronto Alexitme Scale – 20) la cual permitio determinar la dificultad de os pacientes para la identificacion y descripcion de los sentimientos tanto propios como externos; se trabajo con una muestra de 51 pacientes, entre 18 y 56 anos de edad. Los resultados muestran un alto nivel de alexitimia en dicha poblacion, vinculado con la externalizacion de sentimientos y emociones. En conclusion, esta investigacion adscribe la importancia que tiene el reconocimiento de la alexitimia en la sociedad, la familia y la clinica.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".