1,720,957 research outputs found

    Türkiye'nin özelleştirme deneyimi: 2000'lerde büyük ölçekli kamu iktisadi teşebbüslerinin özelleştirilmesi.

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    Privatization, which is the most important component of neo-liberal policies since the 1980s, has been legitimized by the neo-liberal doctrine through a purely economic and technical terminology. Contrary to this, this thesis maintains that privatization is a highly political process, shaped by intertwined class- and identity-based interests in different countries. To support this argument, the thesis makes a comparative analysis of the privatizations of large-scale state economic enterprises in Turkey in the 2000s, namely Petrol Ofisi, TÜPRAŞ, ERDEMİR, Türk Telekom and PETKİM, as part of the neo-liberal transformation of the Turkish state. It concludes that the privatizations of large-scale SEEs in Turkey represent typical examples to what David Harvey terms as “accumulation by dispossession” throughout which wealth has been transferred from the laboring classes to capital by the active involvement of the state though the Turkish experience has its own historical specificities. Political preferences made by governments in charge since the late 1990s in general and by the Islamist AKP government after 2002 in particular have to be understood to make sense of these specificities. ay contribute to social transformation of the region in the long term.M.S. - Master of Scienc

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Privatization processes as ideological moments: The block sales of large-scale state enterprises in Turkey in the 2000s

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    In the process of neoliberal transformation in Turkey, what differentiated the 2000s from the previous two decades were the block sale privatizations of large-scale state enterprises such as PETKİM, Türk Telekom, TÜPRAŞ, and ERDEMİR. These block sales, the conditions of which were shaped by political struggles at different levels, were also constitutive political and ideological moments per se, helping to reproduce a particular perception of social reality at the expense of others. This paper will overview and critically problematize the privatization processes of these four enterprises, all completed under the successive AKP governments in power since 2002. By focusing on the apparently technical and economic aspects of the block-sale processes, such as valuation, efficiency enhancement and marketing, the paper calls into question the increased concerns over their transparency, and wonders whether such concerns can be understood as attempts to mask the substantially corrupt nature of capitalist relations of production, which inescapably makes itself felt during these processe

    Yükselen güç Çin’in Batı Balkanlar’da doğrudan yabancı yatırımları

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    Bu çalışma Çin’in Batı Balkanlar’daki enerji ve altyapı yatırımlarının hegemonik yükselişindeki rolüne ve bu yükselişin küresel iklim gündemine etkisine odaklanmıştır. Bu bağlamda, kuramsal çerçevesini Giovanni Arrighi’nin Adam Smith Pekin’de eserinden ilham alarak çizen bu makalede, Çin’in dünya sistemindeki gücünü yaymaya yönelik bir refleks olarak değerlendirilebilecek doğrudan yabancı yatırımları (DYY) ve özellikle Batı Balkanlar’daki DYY’lerinin etkileri incelenmiştir. Avrupa’daki en yüksek hava kirliliği oranına sahip bölge olan Batı Balkanlar’daki Sırbistan ve Bosna-Hersek örneklerine odaklanan çalışmamız, Çin’in bu analiz edilen vakalarda yakın zamana kadar nasıl bir yol izlediğine değinerek, pandemi başladıktan sonra ivme kazanan DYY alanındaki pragmatik strateji değişikliklerini analiz etmiştir. Çin’in iklim liderliği ve yeşil yatırımları, COVİD-19 pandemisinin beraberinde getirdiği koşullar da dikkate alınarak, Çin’in bu değişen küresel düzende alacağı konumla ilgili olasılıklar ortaya konmuştur.Publisher's Versio

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Duygu analizi icin bağlam ve duyguya duyarlı makine öğrenmesi modelleri

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    With the advances in information technologies, the amount of available data on web sources where people express their opinions increases continually. Sentiment analysis supports decision-makers in gaining insights from massive heaps of data. It has gained much attraction recently as it has proven to be a practical tool in a wide range of areas, including monitoring public opinion. Nevertheless, sentiment analysis research is still facing some challenges. One of the main challenges is the irrelevant and redundant features in the data. Such features not only increase the search space enormously but also disrupt the context awareness of the model. Another main challenge is the lack of domain-agnostic models for the sentiment analysis tasks as an existing model may not be the best fit for another domain in terms of context. Although deep learning models provide high-performance results, they require a massive amount of labeled data. However, obtaining a sufficient amount of labeled data is often impractical. In this thesis, we propose four models to remedy the aforementioned drawbacks. Our first model extracts the most informative features in the data for sentiment analysis. The second one constructs a context-refined word embedding model. The third model transfers the knowledge in pre-trained models to a new domain without the necessity of labeled data. The last one is a feature ensemble model that builds a pool of varying features for sentiment analysis. To verify the effectiveness of our models, we held extensive experiments on three benchmark datasets. Moreover, we introduced two novel datasets consisting of thousands of sentence and sentiment class pairs. Experiment results demonstrated that the proposed models yield performance improvements.Bilişim teknolojilerindeki gelişmelerle birlikte insanların görüşlerini ifade ettikleri web kaynaklarındaki mevcut veri miktarı sürekli olarak artmaktadır. Duygu analizi, karar merciilerin büyük veri yığınlarından içgörüler elde etmelerini destekler. Kamuoyunun takip edilmesi de dahil olmak üzere çok çeşitli alanlarda pratik bir araç olduğunu kanıtladığı için son zamanlarda çok ilgi görmüştür. Buna rağmen, duygu analizi araştırması hala bazı zorluklarla karşı karşıyadır. Ana zorluklardan biri, verilerdeki ilgisiz ve gereksiz özelliklerdir. Bu tür özellikler, yalnızca arama alanını büyük ölçüde artırmakla kalmaz, aynı zamanda modelin bağlam farkındalığını da bozar. Diğer bir temel zorluk, duygu analizi görevleri için etki alanından bağımsız modellerin bulunmamasıdır, çünkü mevcut bir model bağlam açısından başka bir alan için uygun olmayabilir. Derin öğrenme modelleri yüksek performanslı sonuçlar sağlasa da çok büyük miktarda etiketlenmiş veri gerektirirler. Bununla birlikte, yeterli miktarda etiketlenmiş veri elde etmek genellikle kolay bir süreç değildir. Bu tezde, yukarıda belirtilen dezavantajları gidermek için dört model öneriyoruz. İlk modelimiz, duygu analizi için verilerdeki en bilgilendirici özellikleri çıkarır. İkincisi, bağlamla rafine edilmiş bir kelime gömme modeli oluşturur. Üçüncü model, etiketlenmiş verilere ihtiyaç duymadan önceden eğitilmiş modellerdeki bilgiyi yeni bir alana aktarır. Sonuncusu, duygu analizi için çeşitli özelliklerden oluşan bir havuz oluşturan bir özellik topluluğu modelidir. Modellerimizin etkinliğini doğrulamak için üç adet tanınmış veri seti üzerinde kapsamlı deneyler yaptık. Ayrıca, binlerce cümle ve duygu sınıfı çiftinden oluşan iki yeni veri seti oluşturduk. Deney sonuçları, önerilen modellerin performans iyileştirmeleri sağladığını göstermiştir.Ph.D. - Doctoral Progra

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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