GI417      Half Unit
Gender, Population, and Policy

This information is for the 2016/17 session.

Teacher responsible

Prof Wendy Sigle COL5.01I

Availability

This course is available on the MPA in European Public and Economic Policy, MPA in International Development, MPA in Public Policy and Management, MPA in Public and Economic Policy, MPA in Public and Social Policy, MSc in Gender (Research), MSc in Gender, Development and Globalisation, MSc in Gender, Policy and Inequalities, MSc in Health, Community and Development, MSc in Health, Population and Society, MSc in Inequalities and Social Science, MSc in Population and Development, MSc in Social Policy (European and Comparative Social Policy), MSc in Social Policy (Social Policy and Planning) and MSc in Social Research Methods. This course is available as an outside option to students on other programmes where regulations permit.

 

Students on the MSc in Gender Policy and Inequalities degree must take either GI414 OR GI417

Course content

Although population change cannot be described, understood, or responded to without taking into account the wider -- and profoundly gendered -- social, political and economic context,  gender theory has had relatively limited impact on the development and direction of demographic research. This course explores the implications both theoretically and practically. Examining the complex inter-relationship between population issues and policy, students will develop an appreciation of the potential contribution and impact that a feminist and gendered perspective has to offer. It will also explore the ways that feminists can use demographic tools and research to redress social and gender injustices.

Teaching

30 hours of workshops in the MT. 3 hours of workshops in the ST.

There will be a reading week in week 6 in line with department policy.

Formative coursework

Students will be asked to produce 1- 2 rapporteur reports or peer reviews summarising and reflecting on the learning outcomes in the workshop.  These should be uploaded to Moodle within a week of the session.  In addition, students are asked to produce a 1,500 word essay which should include a self-assessment form attached as a coversheet.  The deadline for this essay is the first week of LT.

Indicative reading

Eberhardt, P., & Schwenken, H. (2010). Gender Knowledge in Migration Studies and in Practice. Gender Knowledge and Knowledge Networks in International Political Economy, 94.

Greenhalgh, S. (2012), On the Crafting of Population Knowledge. Population and Development Review, 38(1): 121–131

Intemann, K. (2010).   Twenty-five years of feminist empiricism and standpoint theory: Where are we now?  Hypatia: A Journal of Feminist Philosophy 25(4): 778-796.



Riley, N.E. and McCarthy, J. (2003) Demography in the Age of the Postmodern. Cambridge: Cambridge University Press.Thornton, A.  (2001).  The developmental paradigm, reading history sideways, and family change.   Demography 38(4): 449-465.

Watkins, S.C. (1993)  If all we knew about women was what we read in Demography, what would we know?  Demography 30(4): 551-577.

Assessment

Essay (100%, 4000 words) in the ST.

The production of a 4000 word essay, a 1000 word peer review report and a 500 word revision memo (100%) in the ST

Student performance results

(2012/13 - 2014/15 combined)

Classification % of students
Distinction 2.7
Merit 54.1
Pass 37.8
Fail 5.4

Key facts

Department: Gender Institute

Total students 2015/16: 22

Average class size 2015/16: 23

Controlled access 2015/16: No

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Leadership
  • Self-management
  • Team working
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills

Course survey results

(2012/13 - 2014/15 combined)

1 = "best" score, 5 = "worst" score

The scores below are average responses.

Response rate: 100%

Question

Average
response

Reading list (Q2.1)

1.5

Materials (Q2.3)

1.8

Course satisfied (Q2.4)

1.6

Lectures (Q2.5)

1.6

Integration (Q2.6)

1.3

Contact (Q2.7)

1.4

Feedback (Q2.8)

1.4

Recommend (Q2.9)

Yes

83%

Maybe

14%

No

3%