scholarly journals Western Theory - Vietnamese Praxis

2021 ◽  
pp. 265-276
Author(s):  
Gail Parr ◽  
Chung Hong Nguyen
Keyword(s):  
Developing Countries ◽  
Open Access ◽  
Local Knowledge ◽  
Academic Environment ◽  
Close Collaboration ◽  
Western Theory

This paper provides an ethnographical account of the experience of setting up an open access library of working alongside and in close collaboration with different parties within an academic environment over the period of four years in Hanoi. It provides useful lessons for consideration for those who would like to facilitate the blending of western practices in librarianship with local knowledge in developing countries such as Vietnam. It also presents a platform for an outside's view of the practice of teacher librarianship.

In the Shadow of Violence: Lessons for Limited Access Societies

2012 ◽  
pp. 4-31 ◽  
Author(s):  
D. North ◽  
J. Wallis ◽  
S. Webb ◽  
B. Weingast
Keyword(s):  
Developing Countries ◽  
Economic Development ◽  
Open Access ◽  
Political Stability ◽  
Gradual Transition ◽  
Major Conclusion ◽  
Economic Competition ◽  
Limited Access ◽  
Forthcoming Book ◽  
Personal Connections

The paper presents a summary of the forthcoming book by the authors and discusses the sample study of the 9 developing countries. While admitting the non-linearity of economic development they claim that the developing countries make a transition from the limited access orders (where the coalition of powerful elite groups plays a major role, that is based on personal connections and hampers free political and economic competition) to the open access orders with democratic government and efficient decentralized economic system. The major conclusion of this article is that what the limited access societies should do is not simply introducing open access institutions, but reorganizing the incentives of the elites so that to limit violence, provide economic and political stability and make a gradual transition to the open access order beneficial for the elites.

GREEN OPEN ACCESS IN KENYA: A REVIEW OF THE CONTENT, POLICIES AND USAGE OF INSTITUTIONAL REPOSITORIES

Mousaion ◽  
2016 ◽  
Vol 33 (3) ◽  
pp. 25-54
Author(s):  
Wanyenda Leonard Chilimo
Keyword(s):  
Developing Countries ◽  
Open Access ◽  
Descriptive Study ◽  
Google Scholar ◽  
Research Institutions ◽  
Journal Articles ◽  
Content Type ◽  
Institutional Repositories ◽  
Current State ◽  
Theses And Dissertations

 There is scant research-based evidence on the development and adoption of open access (OA) and institutional repositories (IRs) in Africa, and in Kenya in particular. This article reports on a study that attempted to fill that gap and provide feedback on the various OA projects and advocacy work currently underway in universities and research institutions in Kenya and in other developing countries. The article presents the findings of a descriptive study that set out to evaluate the current state of IRs in Kenya. Webometric approaches and interviews with IR managers were used to collect the data for the study. The findings showed that Kenya has made some progress in adopting OA with a total of 12 IRs currently listed in the Directory of Open Access Repositories (OpenDOAR) and five mandatory self-archiving policies listed in the Registry of Open Access Repositories Mandatory Archiving Policies (ROARMAP). Most of the IRs are owned by universities where theses and dissertations constitute the majority of the content type followed by journal articles. The results on the usage and impact of materials deposited in Kenyan IRs indicated that the most viewed publications in the repositories also received citations in Google Scholar, thereby signifying their impact and importance. The results also showed that there was a considerable interest in Swahili language publications among users of the repositories in Kenya.

scholarly journals Targeting Performance of Community-based Development Interventions: An Econometric Analysis of a WomenFocused and Women-Managed Non-Governmental Organisation in Rural Pakistan

2015 ◽  
Vol 54 (4I-II) ◽  
pp. 825-840
Author(s):  
Hidayat Ullah Khan ◽  
Takashi Kurosaki
Keyword(s):  
Developing Countries ◽  
Informal Sector ◽  
Local Knowledge ◽  
Poverty Reduction ◽  
Econometric Analysis ◽  
Target Groups ◽  
Community Based ◽  
Development Interventions ◽  
Rural Pakistan ◽  
Potential Use

The approach of community-based development (CBD) is expected to improve targeting and reduce programme costs of poverty reduction policies, besides other positive contributions [Mansuri and Rao (2004)]. 1 Furthermore, the use of local knowledge is expected to bear greater relevance in a situation where credible monetary data for potential use in targeting activities are not available. According to Alatas, et al. (2012), in developing countries—where the majority of potential target group is employed in the informal sector—the availability of verifiable income records is always an issue. Therefore, it is difficult to identify target groups by employing conventional targeting techniques such as means tests. For these reasons, identification through the CBD approach is expected to improve targeting.

scholarly journals Integration of Machine Learning and Open Access Geospatial Data for Land Cover Mapping

2019 ◽  
Vol 11 (16) ◽  
pp. 1907 ◽  
Author(s):  
Mohammad Mardani ◽  
Hossein Mardani ◽  
Lorenzo De Simone ◽  
Samuel Varas ◽  
Naoki Kita ◽  
...  
Keyword(s):  
Machine Learning ◽  
Developing Countries ◽  
Open Access ◽  
Land Cover ◽  
Satellite Images ◽  
National Level ◽  
Google Earth ◽  
Support Vector ◽  
Land Cover Mapping ◽  
Sustainable Food

In-time and accurate monitoring of land cover and land use are essential tools for countries to achieve sustainable food production. However, many developing countries are struggling to efficiently monitor land resources due to the lack of financial support and limited access to adequate technology. This study aims at offering a solution to fill in such a gap in developing countries, by developing a land cover solution that is free of costs. A fully automated framework for land cover mapping was developed using 10-m resolution open access satellite images and machine learning (ML) techniques for the African country of Lesotho. Sentinel-2 satellite images were accessed through Google Earth Engine (GEE) for initial processing and feature extraction at a national level. Also, Food and Agriculture Organization’s land cover of Lesotho (FAO LCL) data were used to train a support vector machine (SVM) and bagged trees (BT) classifiers. SVM successfully classified urban and agricultural lands with 62 and 67% accuracy, respectively. Also, BT could classify the two categories with 81 and 65% accuracy, correspondingly. The trained models could provide precise LC maps in minutes or hours. they can also be utilized as a viable solution for developing countries as an alternative to traditional geographic information system (GIS) methods, which are often labor intensive, require acquisition of very high-resolution commercial satellite imagery, time consuming and call for high budgets.

scholarly journals Does self-reported water collection time differ from observed water collection time? Evidence from the Upper West Region of Ghana

2020 ◽  
Vol 10 (2) ◽  
pp. 357-365
Author(s):  
Alfred Dongzagla ◽  
Abraham Marshall Nunbogu ◽  
Nicholas Fielmua
Keyword(s):  
Developing Countries ◽  
Drinking Water ◽  
Open Access ◽  
Global Network ◽  
Round Trip ◽  
Key Indicator ◽  
West Region ◽  
Water Collection ◽  
Generous Support ◽  
Collection Time

Abstract Water collection time is a key indicator in tracking access to drinking water. Over the years, water surveillance agencies have relied on water collectors for information on water collection time to measure progress of water supply. However, emerging evidence shows that water collection times reported by water collectors in developing countries are often imprecise. To contribute to knowledge about the validity or otherwise of self-reported water collection times, this study explored the association between self-reported water collection times and observed water collection times in the Upper West Region of Ghana. Data on water collection times were gathered from 412 water collectors in Daffiama-Issa-Bussie District and Lawra Municipality, first through interviews, and second by observation. From the results, self-reported water collection times were significantly (P < 0.01) lower than observed water collection times. The average round-trip water collection time reported by water collectors (32 minutes) was 8 minutes lower than observed water collection times (40 minutes). This implies that existing statistics on basic water coverage that are largely based on self-reported water collection times are overestimated. Going forward, we call on water surveillance agencies to collect data on water collection times through observation. This article has been made Open Access thanks to the generous support of a global network of libraries as part of the Knowledge Unlatched Select initiative.

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