“Otherness” in America: Hemingway, Hungarians, and Transnationalism
نویسندگان
چکیده
منابع مشابه
Transnationalism in Question
This article seeks to critically engage the new literature on immigrant transnationalism. Connectivity between source and destination points is an inherent aspect of migrations, but migration networks generate a multiplicity of “imagined communities,” organized along different, often conflicting principles. Consequently, what immigration scholars describe as transnationalism is usually its oppo...
متن کاملAssimilation or Transnationalism? Conceptual Models of the Immigrant Experience in America
Americans are immigrants—people whose origins are various but whose destinies made them American. Immigration—voluntary or involuntary—is what created all multiracial and multicultural nations. The United States is a prime example. Sometimes the migrants moved freely from the area of origin to the area of destination. Such was the experience of the European immigrants. Sometimes their movement ...
متن کاملProfile of Janet Hemingway.
As the wheels of a biplane approach a desolate airfield in the Solomon Islands, a man wearing only a loincloth breaks through the brush, brandishing a spear and a flail. From behind the plane’s windows four biologists watch with wary eyes and silently map an escape route. “You’re thinking, ‘What am I supposed to do here?’” recalls Janet Hemingway, Director of the Liverpool School of Tropical Me...
متن کاملThinking, Recognition and Otherness
There was her body, quiet, used, resting: there was her mind, free, clear, shining: there was the boy and his eyes, seeing what? And ecstasy. Things would hurt when this light dimmed. The boy would change. But now in the sun she recognised him, and recognised that she did not know, and had never seen him, and loved him, in the bright new air with a simplicity she had never expected to know. “Yo...
متن کاملHemingway: Modeling Distributed Optimization Algorithms
Distributed optimization algorithms are widely used in many industrial machine learning applications. However choosing the appropriate algorithm and cluster size is often difficult for users as the performance and convergence rate of optimization algorithms vary with the size of the cluster. In this paper we make the case for an ML-optimizer that can select the appropriate algorithm and cluster...
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ژورنال
عنوان ژورنال: Hungarian Cultural Studies
سال: 2020
ISSN: 2471-965X
DOI: 10.5195/ahea.2020.386