Desensibilización Sistemática y su aplicación para reducir la Ansiedad
Bibliographic record
Abstract
La desensibilización sistemática (DS) es una técnica dirigida a reducir las respuestas de ansiedad y las conductas motoras de evitación ante determinados estímulos. Se trata de una de las técnicas pioneras en modificación de conducta, propuesta por Wolpe en los años cincuenta (Labrador, 2008). El supuesto de este procedimiento es que existen determinados estímulos que generan, de forma automática, respuestas de ansiedad en la persona, y pretende que esos mismos estímulos provoquen, también de manera automática, respuestas incompatibles con la ansiedad. De esta forma se impide el desarrollo de la ansiedad y la puesta en marcha de la evitación.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".