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Department: search.filters.department.Department of SociologySubject: search.filters.subject.Humanities

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    Biometrics and anthropometrics: the twins of Turkish modernity
    (Routledge Journals, Taylor & Francis Ltd, 2008) Department of Sociology; Ergin, Murat; Faculty Member; Department of Sociology; College of Social Sciences and Humanities; 106427
    In the first half of the twentieth century, eugenic debates and policies revolved around positive (encouraging the reproduction of 'superior' individuals) and negative (preventing the reproduction of 'inferior' individuals) applications for the purpose of improving hereditary characteristics and preventing social problems. However, their particular manifestations varied because eugenic agendas responded differently to putative social problems in different local contexts. Despite the wealth of scholarly studies on eugenics, particularly in Germany and the United States, eugenic debates in Turkey have so far not received any attention. The significance of eugenics in the Turkish context stems from its conflation with republican modernization efforts. While Turkish republican reformers were diligently searching for anthropometric proof of the whiteness, Europeanness and ancientness of Turks, they also supported biometric scholarship that proposed eugenic measures to protect and improve recently 'discovered' historical essences. At a time when western eugenicists were classifying non-western peoples as inferior, Turkish reformers creatively adopted the methods and vocabulary of race science to establish the Turks' innate ability to modernize. In order to demonstrate the wide appeal of eugenics in the Turkish context, Ergin presents findings from a content analysis of educational conferences organized by the government between 1938 and 1941, and argues that the future-oriented project of biometrics was as important as the past-oriented project of anthropometrics for the formulation of Turkishness in negotiation with race and modernity.
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    PublicationOpen Access
    Overview of CLEF 2019 lab protestnews: extracting protests from news in a cross-context setting
    (Springer, 2019) Department of Sociology; Department of Computer Engineering; Hürriyetoğlu, Ali; Yörük, Erdem; Yüret, Deniz; Yoltar, Çağrı; Gürel, Burak; Mutlu, Osman; Akdemir, Arda; Teaching Faculty; Faculty Member; Faculty Member; Researcher; Faculty Member; Researcher; Department of Sociology; Department of Computer Engineering; Graduate School of Social Sciences and Humanities; Graduate School of Sciences and Engineering; N/A; 28982; 179996; N/A; 219277; N/A; N/A
    We present an overview of the CLEF-2019 Lab ProtestNews on Extracting Protests from News in the context of generalizable natural language processing. The lab consists of document, sentence, and token level information classification and extraction tasks that were referred as task 1, task 2, and task 3 respectively in the scope of this lab. The tasks required the participants to identify protest relevant information from English local news at one or more aforementioned levels in a cross-context setting, which is cross-country in the scope of this lab. The training and development data were collected from India and test data was collected from India and China. The lab attracted 58 teams to participate in the lab. 12 and 9 of these teams submitted results and working notes respectively. We have observed neural networks yield the best results and the performance drops significantly for majority of the submissions in the cross-country setting, which is China.