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Lecture

Gender, Sex & Intersectionality: Chapter 2

Description

This lecture delves into the importance of incorporating an intersectional gender perspective in implementation research for diseases of poverty. It covers topics such as sex, gender, intersectionality, health, infectious diseases of poverty, and the value of intersectional gender analysis. Key characteristics of intersectional gender analysis, reflexivity, considerations during data collection and analysis, and the conclusion emphasizing the transformative goals of addressing gender and social inequalities are discussed.

Official source

Ontological neighbourhood

Health sciences

Health policy: Topics in health policy

Politics

Political ideologies: Identity politics

Related concepts (32)

Health equity

Health equity arises from access to the social determinants of health, specifically from wealth, power and prestige. Individuals who have consistently been deprived of these three determinants are significantly disadvantaged from health inequities, and face worse health outcomes than those who are able to access certain resources. It is not equity to simply provide every individual with the same resources; that would be equality. In order to achieve health equity, resources must be allocated based on an individual need-based principle.

Data collection

Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same.

Gender

Gender includes the social, psychological, cultural and behavioral aspects of being a man, woman, or other gender identity. Depending on the context, this may include sex-based social structures (i.e. gender roles) and gender expression. Most cultures use a gender binary, in which gender is divided into two categories, and people are considered part of one or the other (boys/men and girls/women); those who are outside these groups may fall under the umbrella term non-binary.

Intersectionality

Intersectionality is an analytical framework for understanding how a person's various social and political identities combine to create different modes of discrimination and privilege. Intersectionality identifies multiple factors of advantage and disadvantage. Examples of these factors include gender, caste, sex, race, ethnicity, class, sexuality, religion, disability, weight, and physical appearance. These intersecting and overlapping social identities may be both empowering and oppressing.

Data processing

Data processing is the collection and manipulation of digital data to produce meaningful information. Data processing is a form of information processing, which is the modification (processing) of information in any manner detectable by an observer. The term "Data Processing", or "DP" has also been used to refer to a department within an organization responsible for the operation of data processing programs. Data processing may involve various processes, including: Validation – Ensuring that supplied data is correct and relevant.

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