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MIN, Jinyoung
- The Journal of the Convergence on Culture Technology
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- v.7 no.1
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- pp.432-438
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- 2021
This dissertation's object is to confirm the drastic popularity of La Peste of Albert Camus in Korea post-corona society using big data as the mean of inductive research. Analyzing news articles concerning Camus and investigating word frequency of the book La Peste will affirm the implications La Peste has on current Korea society as the outbreak spreads. As an analysis tool, Bigkinds of Korea Press Foundation and Nuagedemots, the French version of Word Cloud were used. For the past 30 years, Albert Camus has been known in Korea as the writer of L'étranger, but after the epidemic, he earned more reputation with La Peste. Compared to L'étranger that rebelled against the world's absurdity with ennui, La peste emphasizes the importance of resistance accompanied by solidarity. La peste conveys hope by depicting disastrous situations of citizens who confront the plague by organizing a health college. The novel delivers a lot of ethical inspiration to humanity in this exceptional circumstance of COVID-19.
https://doi.org/10.17703/JCCT.2021.7.1.432 인용 PDF KSCI

MIN, Jinyoung
- The Journal of the Convergence on Culture Technology
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- v.7 no.4
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- pp.59-65
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- 2021
This is a case study on the use of Albert Camus' La Peste, which has gained its popularity in today's generation of post-COVID as well as the use of big data analysis tools for major and elective classes. First, we asked students majoring in French to compare the use of vocabulary and the number of appearances for characters using big data analysis, for about 400 pages of the original text. As a result, we were able to confirm a similar relationship between Camus' Absurdism and the vocabulary used within La Peste, in addition to noting the heavy frequency of resistant characters. Students in elective classes were asked to read the literature in a Korean-translated version to determine the frequency of vocabulary and characters' appearances. Students were able to strongly relate to La Peste due to its commonality between COVID and the plague in the literature. We also received high levels of class satisfaction regarding the use of big data analysis tools. The students showed a positive response both towards choosing La Peste as the work of literature and using big data, the main tool in the Fourth Industrial Evolution. We were able to identify good results even in a non-contact environment, as long as the literature does not rely on traditional methods but rather lectures to reflect current situations.
https://doi.org/10.17703/JCCT.2021.7.4.59 인용 PDF KSCI

Lee, Yongzhi
- Journal of the Society of Disaster Information
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- v.13 no.2
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- pp.276-285
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- 2017
Studies on the North East Asian Black Death have been actively conducted, but the contents of the Yanbian region have been rarely mentioned. The purpose of this study was to investigate the preventive measures and effects of the pneumonic plague in the Tumen River basin (mainly the present Yanbian region) based on the study of Yanbian region based on the research of researchers related to the North East Asia Black Death. In particular, we will use historical sources to provide a review of mortality levels and international cooperation in the region, as well as an overview the causes of the pandemic prevention efforts.
https://doi.org/10.15683/kosdi.2017.06.30.276 인용 PDF KSCI