Christina Kenny’s thesis on gendered citizenship in Kenya

ANU Thesis Title: “They would rather have the women who are humbled”: Gendered citizenship and embodied rights in post-colonial Kenya

Author: Christina Mary Kenny

Date: 2017


‘For all the effort and attention Kenyan women receive from the international rights community and at times, from their own government, human rights frameworks are not significantly improving the lives of Kenyan women. Attempting to address this, a great deal of work has been done on monitoring and evaluating human rights based interventions, including tightening funding structures, making recipient organisations more accountable to donors, and assessing the progress of governments and non-government organisations in promoting human rights based reform. Rather than assess individual projects or goals of aid, my approach questions the assumptions which
underpin these interventions.’

For the full abstract and to download the full text see:

Research Assistant: 19th century South Africa gold mining

Casual Research Assistant – Research School of Economics

Dr Martine Mariotti, a senior lecturer in the RSE, is seeking expressions of interest from postgraduate (honours level is fine, other levels will be considered) or final year undergraduate students to assist with a project. The basic skill required for this job is Excel with ideally some basic knowledge of Stata but this is not essential. Work will mostly consist of straightforward data manipulation in excel and could be extended to analysis in Stata.

The project investigates the transmission of technological know-how in the South African gold mining industry in the late nineteenth century. We have data on mine output, ownership and location. The data are in separate files, the project is to bring the data together and put it in a form that is suitable for the statistical package we use called Stata. All the manipulation will be done in Excel, not Stata. While no prior knowledge of the contextual environment is required a general interest in the context once work begins will most likely help with the data work.

If the candidate is willing and able we would extend the project to involve the statistical analysis.

The position is for an initial term of 10 hours per week for three weeks in March/April 2019 with the possibility of extending the contract.

Interested candidates should send their CV/Resume by 18th March 2019 directly to: