Content analysis as a method to study the features of life of the resident population of coastal settlements of the Yamal-Nenets Autonomous District
The authors discuss the methodological approaches to the assessment of the level and quality of life of the population. The analysis of the scientific literature shows that in most cases, such studies are based on the basic statistics. The results of such studies give rise to some controversy relate...
Published in: | Arctic and North |
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Format: | Article in Journal/Newspaper |
Language: | English Russian |
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Northern Arctic Federal University
2017
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Online Access: | https://doi.org/10.17238/issn2221-2698.2017.26.126 https://narfu.ru/upload/iblock/98c/10_Loktev_Zuev.pdf https://doaj.org/article/b23c5d7b130e49b3a0a26422d0d49b5e |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:b23c5d7b130e49b3a0a26422d0d49b5e 2023-05-15T14:55:12+02:00 Content analysis as a method to study the features of life of the resident population of coastal settlements of the Yamal-Nenets Autonomous District Rostislav I. Loktev Sergey M. Zuev 2017-03-01 https://doi.org/10.17238/issn2221-2698.2017.26.126 https://narfu.ru/upload/iblock/98c/10_Loktev_Zuev.pdf https://doaj.org/article/b23c5d7b130e49b3a0a26422d0d49b5e en ru eng rus Northern Arctic Federal University doi:10.17238/issn2221-2698.2017.26.126 2221-2698 https://narfu.ru/upload/iblock/98c/10_Loktev_Zuev.pdf https://doaj.org/article/b23c5d7b130e49b3a0a26422d0d49b5e undefined Арктика и Север, Vol 26, Pp 116-124 (2017) content analysis livelihoods of the population the Arctic zone of the Russian Federation standard of living quality of life demo geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2017 fttriple https://doi.org/10.17238/issn2221-2698.2017.26.126 2023-01-22T19:37:46Z The authors discuss the methodological approaches to the assessment of the level and quality of life of the population. The analysis of the scientific literature shows that in most cases, such studies are based on the basic statistics. The results of such studies give rise to some controversy related to the fact that at a fairly high standard of living, determined by a statistical method, the actual level of satisfaction of the population in the region, determined by other methods, is estimated lower. In this regard, the authors offer alongside with generally accepted methods of living standards and quality assessment of the population, to use the method of content analysis, which can be also used to identify the real problems of life of the resident population of coastal areas in terms of industrial development of the Arctic region. Article in Journal/Newspaper Arctic nenets Unknown Arctic Arctic and North 26 126 135 |
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Open Polar |
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op_collection_id |
fttriple |
language |
English Russian |
topic |
content analysis livelihoods of the population the Arctic zone of the Russian Federation standard of living quality of life demo geo |
spellingShingle |
content analysis livelihoods of the population the Arctic zone of the Russian Federation standard of living quality of life demo geo Rostislav I. Loktev Sergey M. Zuev Content analysis as a method to study the features of life of the resident population of coastal settlements of the Yamal-Nenets Autonomous District |
topic_facet |
content analysis livelihoods of the population the Arctic zone of the Russian Federation standard of living quality of life demo geo |
description |
The authors discuss the methodological approaches to the assessment of the level and quality of life of the population. The analysis of the scientific literature shows that in most cases, such studies are based on the basic statistics. The results of such studies give rise to some controversy related to the fact that at a fairly high standard of living, determined by a statistical method, the actual level of satisfaction of the population in the region, determined by other methods, is estimated lower. In this regard, the authors offer alongside with generally accepted methods of living standards and quality assessment of the population, to use the method of content analysis, which can be also used to identify the real problems of life of the resident population of coastal areas in terms of industrial development of the Arctic region. |
format |
Article in Journal/Newspaper |
author |
Rostislav I. Loktev Sergey M. Zuev |
author_facet |
Rostislav I. Loktev Sergey M. Zuev |
author_sort |
Rostislav I. Loktev |
title |
Content analysis as a method to study the features of life of the resident population of coastal settlements of the Yamal-Nenets Autonomous District |
title_short |
Content analysis as a method to study the features of life of the resident population of coastal settlements of the Yamal-Nenets Autonomous District |
title_full |
Content analysis as a method to study the features of life of the resident population of coastal settlements of the Yamal-Nenets Autonomous District |
title_fullStr |
Content analysis as a method to study the features of life of the resident population of coastal settlements of the Yamal-Nenets Autonomous District |
title_full_unstemmed |
Content analysis as a method to study the features of life of the resident population of coastal settlements of the Yamal-Nenets Autonomous District |
title_sort |
content analysis as a method to study the features of life of the resident population of coastal settlements of the yamal-nenets autonomous district |
publisher |
Northern Arctic Federal University |
publishDate |
2017 |
url |
https://doi.org/10.17238/issn2221-2698.2017.26.126 https://narfu.ru/upload/iblock/98c/10_Loktev_Zuev.pdf https://doaj.org/article/b23c5d7b130e49b3a0a26422d0d49b5e |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic nenets |
genre_facet |
Arctic nenets |
op_source |
Арктика и Север, Vol 26, Pp 116-124 (2017) |
op_relation |
doi:10.17238/issn2221-2698.2017.26.126 2221-2698 https://narfu.ru/upload/iblock/98c/10_Loktev_Zuev.pdf https://doaj.org/article/b23c5d7b130e49b3a0a26422d0d49b5e |
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https://doi.org/10.17238/issn2221-2698.2017.26.126 |
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Arctic and North |
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26 |
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126 |
op_container_end_page |
135 |
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1766326994152194048 |