Abstract
Turkey has experienced a major wave of migration since the early 1950s. Although many studies have tried to investigate how social dynamics and identities play a role in the migration phenomenon in urban areas, none of them have analysed this through a model that allows to present perception of migrants and the phenomenon of migration from the point of view of social groups at a conceptual and relational level. This study conducted in Gebze proposes to analyse FCMs based on modelling position and perception that shows how migrants locate one another in the city and the migration phenomenon. The findings of this study suggest that since experiences and perceptions differ according to social categories, social inequalities caused by and/or leading to migration become visible and more comprehensive from the perspective of different social categories of migrants.
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Notes
- 1.
For push-pull factor conceptualization: Lee [30].
- 2.
FCMappers Excel Macro could be downloaded from: http://www.fcmappers.net.
Abbreviations
- FCM:
-
Fuzzy cognitive mapping
- CM:
-
Cognitive mapping
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Acknowledgments
The work of the author entitled ’Migration Mapping of Gebze’ was funded by UNDP (Ref: SUN41-12). This study is a revised version of chapter obtained from the author’s book: Tezcan, T.: Gebze: “Kçük Türkiye”nin Göç Serüveni (Gebze: The Advanture of Migration in “Small Turkey”) İstanbul Bilgi University, İstanbul (2011) and presented in the conference of “INTEGRATION 2.0 Revisiting Institutional and Life Course Perspectives on Migration” in Bremen International Graduate School of Social Sciences (23/02/2012–25/02/2012). The author would like to thank Dr. Elpinki I. Papagepogiou, Dr. Uygar Özesmi, Prof. Dr. Ayhan Kaya and YADA Foundation for their valuable comments and suggestions.
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Tezcan, T. (2014). The Complex Nature of Migration at a Conceptual Level: An Overlook of the Internal Migration Experience of Gebze Through Fuzzy Cognitive Mapping Method. In: Papageorgiou, E. (eds) Fuzzy Cognitive Maps for Applied Sciences and Engineering. Intelligent Systems Reference Library, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39739-4_18
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