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Record W7057330057

Influencia de la alexitimia en la presencia de violencia familiar en mujeres. Arequipa 2016

2018· dissertation· es· W7057330057 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2018
Typedissertation
Languagees
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsPoison controlPopulationContext (archaeology)Order (exchange)Occupational safety and health
DOInot available

Abstract

fetched live from OpenAlex

La presente investigación buscó establecer la influencia de la alexitimia en la presencia de violencia familiar en mujeres de Arequipa, 2016. Para tal fin se encuestó una muestra representativa de mujeres víctimas de violencia familiar que acuden a evaluación al Instituto de Medicina legal de Arequipa y a una muestra control de mujeres sin violencia familiar, aplicando la Escala de Alexitimia de Toronto TAS-20 para la evaluación de alexitimia. Se comparan resultados con prueba chi cuadrado y se asocian con cálculo del odds ratio. Se encontró que el 69 % de mujeres víctimas de violencia familiar presenta alexitimia, mientras que se encuentra en 23 % de las no víctimas. Las mujeres que no sufren violencia familiar no presentan alexitimia en 58 % de casos, lo que ocurre en 8 % de víctimas de violencia. Las diferencias fueron significativas (p < 0.05) y la presencia de alexitimia se asocia a un riesgo 15.88 veces mayor de violencia familiar. Se concluye que la alexitimia es un importante factor que se relaciona a la violencia familiar, por lo que deben diseñarse estrategas para mejorar la alexitimia desde etapas tempranas de la vida de la mujer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.709
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0520.001

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.

Opus teacher head0.006
GPT teacher head0.297
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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