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    Senior Project submitted to The Division of Languages and Literature of Bard Colleg

    Colonial Anxiety and Identity: Ethnic Networks as Cultural Supports in Colonial South Asia and Sumatra

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    This study was inspired by research into the personal correspondence of colonial servants in Sumatra and South Asia, and the realisation that their articulation of negative emotions such as anxiety or fear are ill-fitted to the current wider understanding of colonial anxiety. This article argues that the progress of colonial empires was widely shaped by negative emotions such as these, yet there were also methods used by colonial servants to deal with such negative experiences. The core example of this has been the case studies of Robert Cowan and Alexander Hall; these men’s letter archives display their usage of correspondence networks as part of their coping strategy. It is argued that these specifically ethnic, and at times gendered, correspondence networks formed a cultural bulwark which was used to cope with aspects of colonial anxiety. The method of this study therefore was epistolary examination to gather evidence and construct arguments. The archives of Cowan and Hall were compared and examined side by side to identify common patters and content. These were then considered in tandem with the current wider understanding of colonial anxiety. Based on the evidence gathered, it has been concluded that ethnic networks such as those examined could mitigate aspects of colonial anxiety. At the same time, these also demonstrate the great potential for future interdisciplinary studies involving personal histories tied to both Sumatra and South Asia

    Nature and development of geography teaching in secondary schools in Scotland

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    Phenomenology based on Poincare group analysis

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    Variance Approximation Approaches For The Local Pivotal Method

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    The problem of estimating the variance of the Horvitz-Thompson estimator of the population total when selecting a sample with unequal inclusion probabilities using the local pivotal method is discussed and explored. Samples are selected using unequal inclusion probabilities so that the estimates using the Horvitz-Thompson estimator will have smaller variance than for simple random samples. The local pivotal method is one sampling method which can select samples with unequal inclusion probability without replacement. The local pivotal method also balances on other available auxiliary information so that the variability in estimates can be reduced further. A promising variance estimator, bootstrap subsampling, which combines bootstrapping with rescaling to produce estimates of the variance is described and developed. This new variance estimator is compared to other estimators such as naive bootstrapping, the jackknife, the local neighborhood variance estimator of Stevens and Olsen, and the nearest neighbor estimator proposed by Grafstrom. For five example populations, we compare the performance of the variance estimators. The local neighborhood variance estimator performs best where it is appropriate. The nearest neighbor estimator performs second best and is more widely applicable. The bootstrap subsample variance estimator tends to underestimate the variance

    Incentives to learn

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    The authors report results from a randomized evaluation of a merit scholarship program for adolescent girls in Kenya. Girls who scored well on academic exams received a cash grant and had school fees paid. Girls eligible for the scholarship showed significant gains in academic examination scores (average gain 0.15 standard deviations). There was considerable sample attrition and no significant program impact in the smaller of the two program districts, but in the other district girls showed large gains (average gain 0.22-0.27 standard deviations), and these gains persisted one full year following the competition. There is also evidence of positive program externalities on learning-boys (who were ineligible for the awards) also showed sizable average test gains. Both student and teacher school attendance increased in the program schools.Primary Education,Gender and Development,Poverty and Social Impact Analysis,Education Finance,Access&Equity in Basic Education
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