Shifting Loyalties: World War I and the Conflicted Politics of Patriotism in the British Caribbean

This dissertation examines how the crisis of World War I impacted imperial policy and popular claims-making in the British Caribbean. Between 1915 and 1918, tens of thousands of men from the British Caribbean volunteered to fight in World War I and nearly 16,000 men, hailing from every British colony in the region, served in the newly formed British West Indies Regiment (BWIR). Rousing appeals to imperial patriotism and manly duty during the wartime recruitment campaigns and postwar commemoration movement linked the British Empire, civilization, and Christianity while simultaneously promoting new roles for women vis-à-vis the colonial state. In Jamaica and Trinidad and Tobago, the two colonies that contributed over seventy-five percent of the British Caribbean troops, discussions about the meaning of the war for black, coloured, white, East Indian, and Chinese residents sparked heated debates about the relationship among race, gender, and imperial loyalty.

To explore these debates, this dissertation foregrounds the social, cultural, and political practices of BWIR soldiers, tracing their engagements with colonial authorities, military officials, and West Indian civilians throughout the war years. It begins by reassessing the origins of the BWIR, and then analyzes the regional campaign to recruit West Indian men for military service. Travelling with newly enlisted volunteers across the Atlantic, this study then chronicles soldiers' multi-sited campaign for equal status, pay, and standing in the British imperial armed forces. It closes by offering new perspectives on the dramatic postwar protests by BWIR soldiers in Italy in 1918 and British Honduras and Trinidad in 1919, and reflects on the trajectory of veterans' activism in the postwar era.

This study argues that the racism and discrimination soldiers experienced overseas fueled heightened claims-making in the postwar era. In the aftermath of the war, veterans mobilized collectively to garner financial support and social recognition from colonial officials. Rather than withdrawing their allegiance from the empire, ex-servicemen and civilians invoked notions of mutual obligation to argue that British officials owed a debt to West Indians for their wartime sacrifices. This study reveals the continued salience of imperial patriotism, even as veterans and their civilian allies invoked nested local, regional, and diasporic loyalties as well. In doing so, it contributes to the literature on the origins of patriotism in the colonial Caribbean, while providing a historical case study for contemporary debates about "hegemonic dissolution" and popular mobilization in the region.

This dissertation draws upon a wide range of written and visual sources, including archival materials, war recruitment posters, newspapers, oral histories, photographs, and memoirs. In addition to Colonial Office records and military files, it incorporates previously untapped letters and petitions from the Jamaica Archives, National Archives of Trinidad and Tobago, Barbados Department of Archives, and US National Archives.

Computational Journalism: from Answering Question to Questioning Answers and Raising Good Questions

Our media is saturated with claims of ``facts'' made from data. Database research has in the past focused on how to answer queries, but has not devoted much attention to discerning more subtle qualities of the resulting claims, e.g., is a claim ``cherry-picking''? This paper proposes a Query Response Surface (QRS) based framework that models claims based on structured data as parameterized queries. A key insight is that we can learn a lot about a claim by perturbing its parameters and seeing how its conclusion changes. This framework lets us formulate and tackle practical fact-checking tasks --- reverse-engineering vague claims, and countering questionable claims --- as computational problems. Within the QRS based framework, we take one step further, and propose a problem along with efficient algorithms for finding high-quality claims of a given form from data, i.e. raising good questions, in the first place. This is achieved to using a limited number of high-valued claims to represent high-valued regions of the QRS. Besides the general purpose high-quality claim finding problem, lead-finding can be tailored towards specific claim quality measures, also defined within the QRS framework. An example of uniqueness-based lead-finding is presented for ``one-of-the-few'' claims, landing in interpretable high-quality claims, and an adjustable mechanism for ranking objects, e.g. NBA players, based on what claims can be made for them. Finally, we study the use of visualization as a powerful way of conveying results of a large number of claims. An efficient two stage sampling algorithm is proposed for generating input of 2d scatter plot with heatmap, evalutaing a limited amount of data, while preserving the two essential visual features, namely outliers and clusters. For all the problems, we present real-world examples and experiments that demonstrate the power of our model, efficiency of our algorithms, and usefulness of their results.