Rasgos de Personalidad, Estrategias de Afrontamiento y Dolor en Pacientes con Diagnóstico de Artritis Reumatoide
Bibliographic record
Abstract
El proposito de este estudio fue describir las caracteristicas de personalidad, estrategias de afrontamiento y el dolor percibido en un grupo de 43 pacientes con diagnostico de Artritis Reumatoide, y observar si existe relacion entre dichas variables. Para ello se utilizo el Inventario de Personalidad de Eysenck [EPI], el Inventario de Estrategias de Afrontamiento [EEC-R], el McGILL Pain Questionaire [MPQ] y la Escala Visual Analoga [VAS]. Se encontraron relaciones significativas entre algunas estrategias de afrontamiento, mostrando patrones de respuesta coherentes, lo cual denota la solidez de este constructo. No se encontraron relaciones significativas entre las variables estudiadas. La escasa correspondencia entre estos resultados con los presentados en la literatura, que tambien son diversos, sugiere estudiar si estas diferencias se deben a aspectos metodologicos o por el contrario, se revalua la asociacion entre estas variables.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".