Quantifying Human Rights: The Limits of Counting Violence Against Women

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Quantifying Rights
Counting Violence
Disciplinary Tensions

Quantifying Rights

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    Critiques the dominance of quantitative data over qualitative insights in human rights.

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    Examines how infrastructure and resource allocation shape what gets counted globally.

Understanding of the core definitions and international frameworks surrounding Gender-Based Violence (GBV), such as CEDAW (Convention on the Elimination of All Forms of Discrimination against Women).
Basic knowledge of quantitative vs. qualitative research methodologies, particularly the strengths and limitations of statistical data in social sciences.
Familiarity with the concept of 'human rights indicators' and how international bodies (like the UN) use data to monitor compliance.
An introduction to the sociology of knowledge, specifically how social categories and metrics are constructed and standardized.
Investigation into Sally Engle Merry's broader theory of 'vernacularization'—how global human rights concepts are adapted into local cultural contexts.
Deep dive into 'Data Feminism' and feminist epistemology, examining how data collection can be restructured to challenge unequal power dynamics.
Analysis of the policy impacts of 'indicator culture' (e.g., how reliance on quantitative metrics shapes funding, NGO priorities, and state accountability).
Study of mixed-methods approaches that combine ethnographic research with statistical indicators to capture systemic and structural violence.
410 views7likes5:33@cmi-uiblawtransform1395Original Release: 2020-09-11

Quantitative knowledge, while valuable, has significant limitations when measuring complex social phenomena like violence against women or human rights compliance, as the process of counting simplifies and decontextualizes reality, potentially missing structural factors, state violence, and culturally specific experiences; this highlights the need for ethnographic and qualitative approaches that consider local perspectives and avoid applying Northern measurement models to Southern contexts without adequate input from those being studied.