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Moser Gender Planning Framework×Gender Mainstreaming Assessment×
Lĩnh vựcGender StudiesGender Studies
HọProcess / pipelineProcess / pipeline
Năm ra đời19891997
Người khởi xướngCaroline O. N. MoserUN Economic and Social Council (gender mainstreaming, 1997); European Institute for Gender Equality (gender impact assessment methodology)
LoạiApplied gender planning frameworkPolicy gender analysis method
Công trình gốcMoser, C. O. N. (1993). Gender Planning and Development: Theory, Practice and Training. Routledge, London. ISBN: 9780415056212United Nations Economic and Social Council (1997). Mainstreaming the gender perspective into all policies and programmes in the United Nations system (Agreed Conclusions 1997/2). UN ECOSOC, New York. link ↗
Tên gọi khácMoser Framework, Gender Planning Framework, Triple Role FrameworkGender Mainstreaming, Gender Impact Assessment, GIA
Liên quan44
Tóm tắtThe Moser Gender Planning Framework, developed by Caroline Moser at the Development Planning Unit in London in the late 1980s, treats gender planning as a distinct planning discipline in its own right and as an inherently political activity. Built on three core concepts — the triple role of women (productive, reproductive, and community-managing work), the distinction between practical and strategic gender needs, and a policy matrix charting Women in Development and Gender and Development approaches — it aims not merely to make women visible but to emancipate them from subordination and transform unequal gender relations.Gender mainstreaming assessment, operationalised most concretely as gender impact assessment (GIA), is the method used to put into practice the strategy of gender mainstreaming defined by the UN Economic and Social Council in 1997: assessing the implications for women and men of any planned action — legislation, policies, or programmes — in all areas and at all levels, so that gender equality becomes an integral dimension of policy design rather than an afterthought. As a method it screens a proposed policy for gender relevance, gathers sex-disaggregated evidence, evaluates how the policy will affect women and men differently, and recommends adjustments, with monitoring built in.
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