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October 2012 Vol. 1
Issue 5
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Balgah RA
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Global Advanced
Research Journal of Social Science (GARJSS)
October 2012 Vol. 1(5),
pp. 083-091
Copyright © 2012 Global Advanced
Research Journals
Review
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Can the social
mechanisms framework be applicable in modeling
natural shocks?
Roland Azibo Balgah
Post doctoral fellow, Bamenda University of Science
and Technology in collaboration with the Military
University – Munich and the University of Hohenheim,
Germany.
Lecturer, University of Bamenda and the Pan African
Institute for Development – West Africa, Buea –
Cameroon. P.O.Box 5044 Nkwen – Bamenda, North West
Region, Republic of Cameroon.
E-mail:
balgazib@yahoo.com; Tel: (+237) 70 51 10 67;
(+237) 91 47 42 31
Accepted 19 September, 2012
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Abstract |
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Many sociologists agree to the role of social
mechanisms in rigorizing the identification,
understanding and analysis of real world social
phenomena. This framework has often been used in
sociological literature to narrow the gap between
pure descriptive and empirical discourse on the one
hand and logical, abstract sociological modeling on
the other, in modeling social phenomena. This
article extends this conventional wisdom in the
social science to the analysis of natural shocks,
whose rapid upsurge has been observed in recent
years. It is argued that an adequate theoretical and
methodical approach to informal response mechanisms
is prerequisite for understanding and explaining the
black box often existing when such shocks occur in
developing countries, where formal (state and
market) mechanisms often fail or function only
partially. Empirical examples are provided to
strengthen the argument that understanding formal
and informal response mechanisms using the social
mechanisms framework can significantly improve
analytical rigor, and illuminate any existing black
boxes. Natural shocks are further presented as
social phenomena that until very recently have not
sufficiently attracted the attention of the social
scientist.
Keywords:
social mechanisms, informal responses, natural
shocks, analytical rigor, black box.
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