The weight of the g-word: a critical discourse analysis of the portrayal of women's experiences in the current avaliable definitions of genocide
Author
Sørensen, Marie-Louise Dalgaard
Term
4. term
Publication year
2022
Submitted on
2022-08-04
Pages
55
Abstract
This thesis examines how common definitions of genocide portray—and sometimes overlook—women’s experiences. It applies Norman Fairclough’s three-dimensional model for critical discourse analysis, a method that looks at texts, how they are produced, and their social context. The study also uses an intersectional gender lens and elements of Carol Bacchi’s WPR (What’s the Problem Represented to be?) approach, which analyzes how policies frame the problem. The findings show that the way genocide is defined shapes which harms are recognized, prevented, and punished, and that women’s experiences—especially where gender intersects with factors such as race and class—can be marginalized. The thesis calls for careful, critical reflection on discourse and problem representation to support intersectional equality in the prevention and punishment of genocide.
Specialet undersøger, hvordan gængse definitioner af folkedrab fremstiller – og til tider overser – kvinders oplevelser. Analysen bygger på Norman Faircloughs tre-dimensionelle model for kritisk diskursanalyse (en metode, der ser på teksten, dens tilblivelse og dens sociale sammenhæng). Der inddrages også et intersektionelt kønsperspektiv og elementer af Carol Bacchis WPR-tilgang (What’s the Problem Represented to be?), som undersøger, hvordan politikker rammesætter selve problemet. Resultaterne peger på, at måden folkedrab defineres på, er med til at afgøre, hvilke former for skade der bliver anerkendt, forebygget og straffet, og at kvinders erfaringer – især hvor køn krydser med fx etnicitet og klasse – kan blive marginaliseret. Specialet anbefaler en mere kritisk og reflekteret omgang med sprog og problemrepræsentation for at fremme intersektionel ligestilling i forebyggelse og retsforfølgelse af folkedrab.
[This apstract has been rewritten with the help of AI based on the project's original abstract]
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