Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Pensar despacio sobre las mujeres que sufren violencia machista

Authors: Cala Carrillo, María Jesús; García Jiménez, María;

Pensar despacio sobre las mujeres que sufren violencia machista

Abstract

Durante la intervención con mujeres que han sufrido algún tipo de violencia machista, diferentes profesionales tomarán decisiones (e.g., creerlas o no) y harán atribuciones a su comportamiento (por ejemplo, responsabilizarlas de la violencia que sufren) mediadas por creencias previas estereotipadas sobre las víctimas, en ocasiones erróneas. Esta actuación inadecuada de quienes supuestamente deben ayudarlas y/o protegerlas, puede llevar a una victimización secundaria. El objetivo de este trabajo es ilustrar la relevancia de dicho pensamiento estereotipado señalando el papel que juega en la toma de decisiones. Partiendo de la distinción del pensamiento rápido y pensamiento lento de Daniel Kahneman, nos centramos en el primero y en su relación con los estereotipos de género y el papel que juegan en nuestras atribuciones y toma de decisiones. Seguidamente profundizaremos en tres creencias estereotipadas sobre las mujeres que sufren violencia para contrastarlas con lo que desde la investigación psicológica se sabe sobre ellas y sus experiencias: (1) creer que las mujeres víctimas son pasivas, no se resisten a la violencia, (2) creer que mienten cuando la denuncia no se interpone inmediatamente después de un episodio de violencia y (3) creer que mienten si su relato presenta inconsistencias. El trabajo concluye resaltando la importancia de tomar conciencia sobre dichas creencias y la necesidad de reemplazarlas por un pensamiento basado en la evidencia científica para disminuir así el riesgo de victimización secundaria. Esto requiere, necesariamente, de una formación y especialización profesional con base en la investigación psicológica.

During the intervention with women who have suffered any kind of gender-based violence, different professionals will make decisions (e.g., whether to believe them or not) and attributions about their behavior (e.g., holding them responsible for the violence they suffer), which are mediated by their pre-existing stereotyped, and sometimes erroneous, beliefs about these women. Such inadequate intervention by those who are supposed to help and/or protect the victims can lead to secondary victimization. This work aims to illustrate the relevance of such stereotyped thinking by highlighting its role in people’s decision-making. We will start with Daniel Kahneman’s distinction between fast and slow thinking, focusing on the former and relating it to gender stereotypes and the role they play in our decisions and judgements. Subsequently, we will delve into three stereotyped beliefs about women who suffer gender-based violence to contrast them with what psychological research shows about these women and their experiences: (1) Considering that women victims are passive and do not stand up against the abuse. (2) Believing women are lying if they do not file a complaint immediately after an episode of violence, and (3) Believing women lie if their narrative shows some inconsistencies. The paper concludes by emphasizing the importance of becoming aware of these beliefs and the need to replace them with evidence-based thinking to reduce the risk of secondary victimization. This necessarily requires training and professional specialization based on psychological research.

Keywords

Gender-based violence, Misconceptions, Women, Myths, Mujeres, Estereotipos, Stereotypes, Violencia de género, Mitos, Falsas creencias

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green