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Permanent URI for this collectionhttps://hdl.handle.net/20.500.14288/3

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    Women, academia, and happiness: the impact of the pandemic
    (IGI Global, 2023) Department of Sociology; Mert, Aslı Ermiş; Yılmaz, Elif; Karayel, Berra; Department of Sociology; College of Social Sciences and Humanities; Graduate School of Social Sciences and Humanities
    This chapter focuses on the impact of domestic division of labor and research-related work patterns on women’s happiness levels in academia since the beginning of the pandemic in Türkiye. Multilevel mixed effects generalized linear models demonstrate that while components related to unpaid domestic responsibilities have no statistically significant impact unlike expected, partner support has a meaningful positive effect. Worries regarding future career statistically significantly decrease the reported happiness levels, as support received from one’s institution has an improving impact. Single predictor models show the diminishing influence of the negative effect pandemic had on research productivity and associated reactions from one’s institution. Variance based on academic rank is only observed for the latter. Results refer to similar experiences of women in academia since the start of the pandemic regardless of academic rank and the significance of creating gender sensitive workplace policies in higher education to improve their well-being, especially in times of crises. © 2023 by IGI Global.
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    Europeanisation
    (Routledge, 2021) N/A; Department of Sociology; Kazanoğlu, Nazlı; Teaching Faculty; Department of Sociology; The Center for Gender Studies (KOÇ-KAM) / Koç Üniversitesi Toplumsal Cinsiyet ve Kadın Çalışmaları Araştırma ve Uygulama Merkezi (KOÇ-KAM); College of Social Sciences and Humanities; N/A
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    Challenges and applications of automated extraction of socio-political events from text (case 2021): workshop and shared task report
    (Association for Computational Linguistics (ACL), 2021) Tanev, Hristo; Zavarella, Vanni; Piskorski, Jakub; Yeniterzi, Reyyan; Villavicencio, Aline; Department of Sociology; Department of Sociology; N/A; Department of Computer Engineering; Hürriyetoğlu, Ali; Yörük, Erdem; Mutlu, Osman; Yüret, Deniz; Teaching Faculty; Faculty Member; PhD Student; Faculty Member; Department of Sociology; Department of Computer Engineering; College of Social Sciences and Humanities; College of Social Sciences and Humanities; Graduate School of Sciences and Engineering; College of Engineering; N/A; 28982; N/A; 179996
    This workshop is the fourth issue of a series of workshops on automatic extraction of sociopolitical events from news, organized by the Emerging Market Welfare Project, with the support of the Joint Research Centre of the European Commission and with contributions from many other prominent scholars in this field. The purpose of this series of workshops is to foster research and development of reliable, valid, robust, and practical solutions for automatically detecting descriptions of sociopolitical events, such as protests, riots, wars and armed conflicts, in text streams. This year workshop contributors make use of the state-of-the-art NLP technologies, such as Deep Learning, Word Embeddings and Transformers and cover a wide range of topics from text classification to news bias detection. Around 40 teams have registered and 15 teams contributed to three tasks that are i) multilingual protest news detection, ii) fine-grained classification of socio-political events, and iii) discovering Black Lives Matter protest events. The workshop also highlights two keynote and four invited talks about various aspects of creating event data sets and multi- and cross-lingual machine learning in few- and zero-shot settings.
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    The causal news corpus: annotating causal relations in event sentences from news
    (EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA, 2022) Tan, Fiona Anting; Caselli, Tommaso; Oostdijk, Nelleke; Nomoto, Tadashi; Hettiarachchi, Hansi; Ameer, Iqra; Uca, Onur; Liza, Farhana Ferdousi; Hu, Tiancheng; Department of Sociology; Hürriyetoğlu, Ali; Teaching Faculty; Department of Sociology; College of Social Sciences and Humanities; N/A
    Despite the importanceofunderstandingcausality, corporaaddressingcausal relationsare limited. There isadiscrepancy betweenexistingannotationguidelinesofeventcausalityandconventionalcausalitycorporathat focusmoreonlinguistics. Manyguidelinesrestrict themselvestoincludeonlyexplicit relationsorclause-basedarguments. Therefore,weproposean annotationschemaforeventcausalitythataddressestheseconcerns.Weannotated3,559eventsentencesfromprotestevent newswithlabelsonwhether itcontainscausal relationsornot. OurcorpusisknownastheCausalNewsCorpus(CNC).A neuralnetworkbuiltuponastate-of-the-artpre-trainedlanguagemodelperformedwellwith81.20%F1scoreontest set, and83.46%in5-foldscross-validation. CNCistransferableacrosstwoexternalcorpora:CausalTimeBank(CTB)andPenn DiscourseTreebank(PDTB).Leveragingeachoftheseexternaldatasetsfortraining,weachieveduptoapproximately64%F1 ontheCNCtestsetwithoutadditionalfine-tuning. CNCalsoservedasaneffectivetrainingandpre-trainingdataset for the twoexternalcorpora. Lastly,wedemonstratethedifficultyofourtasktothelaymaninacrowd-sourcedannotationexercise. Ourannotatedcorpusispubliclyavailable,providingavaluableresourceforcausaltextminingresearchers.
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    Social experiences of physical rehabilitation: the role of the family
    (Taylor and Francis Inc., 2015) Yardimci, Sibel; Department of Sociology; Bezmez, Dikmen; Faculty Member; Department of Sociology; College of Social Sciences and Humanities; 101788
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    O longo verão da Turquia: entendendo o levante Gezi
    (Centro Brasileiro de Analise e Planejamento (CEBRAP), 2013) Department of Sociology; Yörük, Erdem; Faculty Member; Department of Sociology; College of Social Sciences and Humanities; 28982
    Uprising in Turkey, providing a portrayal of the recent history of the country. The article analyzes the unfolding of accumulated grievances and resulting grassroots struggles in Turkey during the last year preceding the Gezi Uprising. Then, the article employs the concept of self-fulfilling prophecy as a mechanism that transformed and united various struggles into a single nationwide uprising. The second half of the article compares the protests in Turkey and Brazil, placing the differences and similarities into a broader political and historical context.
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    Europe and Turkish identity
    (Routledge, 2017) N/A; Department of Sociology; Keyder, Çağlar; Faculty Member; Department of Sociology; College of Social Sciences and Humanities; N/A
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    Discovering black lives matter events in the United States: shared task 3, CASE 2021
    (Association for Computational Linguistics (ACL), 2021) Giorgi, Salvatore; Zavarella, Vanni; Tanev, Hristo; Stefanovitch, Nicolas; Hwang, Sy; Hettiarachchi, Hansi; Ranasinghe, Tharindu; Kalyan, Vivek; Tan, Paul; Tan, Shaun; Andrews, Martin; Hu, Tiancheng; Stoehr, Niklas; Re, Francesco Ignazio; Vegh, Daniel; Atzenhofer, Dennis; Curtis, Brenda; Department of Sociology; Hürriyetoğlu, Ali; Teaching Faculty; Department of Sociology; College of Social Sciences and Humanities; N/A
    Evaluating the state-of-the-art event detection systems on determining spatio-temporal distribution of the events on the ground is performed unfrequently. But, the ability to both (1) extract events "in the wild" from text and (2) properly evaluate event detection systems has potential to support a wide variety of tasks such as monitoring the activity of socio-political movements, examining media coverage and public support of these movements, and informing policy decisions. Therefore, we study performance of the best event detection systems on detecting Black Lives Matter (BLM) events from tweets and news articles. The murder of George Floyd, an unarmed Black man, at the hands of police officers received global attention throughout the second half of 2020. Protests against police violence emerged worldwide and the BLM movement, which was once mostly regulated to the United States, was now seeing activity globally. This shared task asks participants to identify BLM related events from large unstructured data sources, using systems pretrained to extract socio-political events from text. We evaluate several metrics, assessing each system's ability to evolution of protest events both temporally and spatially. Results show that identifying daily protest counts is an easier task than classifying spatial and temporal protest trends simultaneously, with maximum performance of 0.745 (Spearman) and 0.210 (Pearson r), respectively. Additionally, all baselines and participant systems suffered from low recall (max.5.08), confirming the high impact of media sourcing in the modelling of protest movements.
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    Political economy of citizens' 2019; participation in environmental improvement: the case of Istanbul
    (CRC Press, 2003) Zenginobuz, Ünal; Adaman, Fikret; Department of Sociology; Gökşen, Fatoş; Faculty Member; Department of Sociology; College of Social Sciences and Humanities; 51292
    The purpose of this paper is to make a contribution to the analysis of the political economy of Istanbul citizens participation in environmental improvement. More specifically, the paper seeks to focus on, on the basis of the results of a survey study conducted in December 1998 with a sample size of 1565, regarding Istanbul citizens concerns and attitudes towards the protection of the environment, together with the relationship between their willingness to contribute to projects aiming at easing or solving environmental problems and their trust in different political and social institutions. To better interpret the results of this survey, a set of complementary in–depth interviews was also carried out with representatives of business, NGOs, trade unions and bureaucrats, with regard to their positions on, and their preferred solutions to, environmental problems. These in–depth interviews also probed respondents positions on possible actions that can be taken at local/national/global levels with regard to environmental protection and their 1 This paper is based on a research undertaken with an award under the Middle East Research Awards Program in Population and Development (MEAwards) of the Population Council (Project: MEA 385), for which the authors are grateful. The authors would also like to thank, without implicating, BegÜm Özkaynak for her very able assistance, the FREKANS Research Company for their careful work in conducting the survey, and Cem Behar, Ali Çarkoğlu, Korel GÖymen, Oğuz IŞik, Martin OBrian, Begüm Özkaynak, Insan Tunali and Tansel Yilmazer for their stimulating comments. This paper has some overlapping points with an earlier paper of one of us (Adaman, [1]) as well as two companion papers (Zenginobuz et al., [2], GÖksen et al., [3]) that are based on the mentioned study. © 2003 by Taylor and Francis Group, LLC.
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    The politics of Europeanisation work and family life reconciliation policy preface
    (Routledge, 2021) N/A; Department of Sociology; Kazanoğlu, Nazlı; Teaching Faculty; Department of Sociology; The Center for Gender Studies (KOÇ-KAM) / Koç Üniversitesi Toplumsal Cinsiyet ve Kadın Çalışmaları Araştırma ve Uygulama Merkezi (KOÇ-KAM); College of Social Sciences and Humanities; N/A
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