The Experts below are selected from a list of 199290 Experts worldwide ranked by ideXlab platform
Courtney G. Flint - One of the best experts on this subject based on the ideXlab platform.
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Integrating Rural Livelihoods and Community Interaction into Migration and Environment Research: A Conceptual Framework of Rural Out-Migration and Environment in Developing Countries
Society & Natural Resources, 2012Co-Authors: Courtney G. FlintAbstract:This article presents a conceptual framework linking perspectives from migration and environment with rural livelihoods and Interactional Community research in the context of rural out-migration and environmental changes in developing countries. Household livelihoods and Community Interaction comprise two core mediating factors between rural out-migration and rural environmental outcomes. Developing an interdisciplinary conceptual framework is an important way to advance migration and environment research that is built on knowledge from a variety of disciplines. By building linkages across different research fields, our conceptual framework provides an overall picture of the relevant mechanisms through which out-migration affects the rural environment. The framework has implications for theory, methodology, and rural environment and development policy.
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The Impacts of Rural Labor Out-Migration on Community Interaction and Implications for Rural Community-Based Environmental Conservation in Southwest China
Human Organization, 2012Co-Authors: Hua Qin, Courtney G. FlintAbstract:Recent migration and environment literature shows an increasing demand for better understanding the mechanisms through which human migration affects the natural environment. Community Interaction can be an important mediating variable in the relationship between migration and the environment. This study investigates the impacts of rural-to-urban labor migration on Community Interaction and assesses its potential consequences for environmental conservation in rural origin areas in Chongqing Municipality of Southwest China. Empirical data were collected through key informant interviews and household surveys in four rural communities in Chongqing. We examine the effects of rural labor out-migration on local communities by analyzing the differences between household groups with different labor migration statuses regarding participation in general and environment-related Community activities. The results suggest that rural migration presents both detrimental and beneficial potentials for Community Interaction ...
David Jeffry Nasir - One of the best experts on this subject based on the ideXlab platform.
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A Study of Vertical Dwelling Design Model Based on Community Interaction in Winongo Riverbank Yogyakarta
ARTEKS : Jurnal Teknik Arsitektur, 2019Co-Authors: Sidhi Pramudito, Antonius Lanang Tegar Wicaksana Praptantya, David Jeffry NasirAbstract:Riverbanks are one of the urban areas that often experience decrease in its environment quality. This is caused by the improper utilization of riverbanks as a living space. Consequently, the quality of adequate housing for the Community is difficult to achieve. Although the government has tried to build flats as a solution to the problem, some residents choose to abandon them because of its formal and rigid vertical dwelling model that make the residents feel lack of togetherness and Interaction between Community. This kind of communal perspectives sometimes cannot be found when they live in horizontal dwelling (kampung). The purpose of this paper is to generate recomendation for a vertical dwelling model based on the form of Community Interaction in Kampung Gampingan, located at the Winongo River. The paper is expected to be an alternative solution for stakeholders in planning and designing settlements, especially in villages on the banks of urban rivers.
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Studi Model Rancangan Hunian Vertikal Berdasarkan Bentuk Interaksi Warga Di Bantaran Sungai Winongo YOGYAKARTA (a Study of Vertical Dwelling Design Model Based on Community Interaction in Winongo Riverbank YOGYAKARTA)
ARTEKS Jurnal Teknik Arsitektur, 2019Co-Authors: Sidhi Pramudito, W P Antonius Lanang Tegar, David Jeffry NasirAbstract:Riverbanks are one of the urban areas that often experience decrease in its environment quality. This is caused by the improper utilization of riverbanks as a living space. Consequently, the quality of adequate housing for the Community is difficult to achieve. Although the government has tried to build flats as a solution to the problem, some residents choose to abandon them because of its formal and rigid vertical dwelling model that make the residents feel lack of togetherness and Interaction between Community. This kind of communal perspectives sometimes cannot be found when they live in horizontal dwelling (kampung). The purpose of this paper is to generate recomendation for a vertical dwelling model based on the form of Community Interaction in Kampung Gampingan, located at the Winongo River. The paper is expected to be an alternative solution for stakeholders in planning and designing settlements, especially in villages on the banks of urban rivers.
Rajiv Ratn Shah - One of the best experts on this subject based on the ideXlab platform.
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arhnet leveraging Community Interaction for detection of religious hate speech in arabic
Meeting of the Association for Computational Linguistics, 2019Co-Authors: Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn ShahAbstract:The rapid widespread of social media has lead to some undesirable consequences like the rapid increase of hateful content and offensive language. Religious Hate Speech, in particular, often leads to unrest and sometimes aggravates to violence against people on the basis of their religious affiliations. The richness of the Arabic morphology and the limited available resources makes this task especially challenging. The current state-of-the-art approaches to detect hate speech in Arabic rely entirely on textual (lexical and semantic) cues. Our proposed methodology contends that leveraging Community-Interaction can better help us profile hate speech content on social media. Our proposed ARHNet (Arabic Religious Hate Speech Net) model incorporates both Arabic Word Embeddings and Social Network Graphs for the detection of religious hate speech.
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ACL (2) - ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2019Co-Authors: Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn ShahAbstract:The rapid widespread of social media has lead to some undesirable consequences like the rapid increase of hateful content and offensive language. Religious Hate Speech, in particular, often leads to unrest and sometimes aggravates to violence against people on the basis of their religious affiliations. The richness of the Arabic morphology and the limited available resources makes this task especially challenging. The current state-of-the-art approaches to detect hate speech in Arabic rely entirely on textual (lexical and semantic) cues. Our proposed methodology contends that leveraging Community-Interaction can better help us profile hate speech content on social media. Our proposed ARHNet (Arabic Religious Hate Speech Net) model incorporates both Arabic Word Embeddings and Social Network Graphs for the detection of religious hate speech.
Sidhi Pramudito - One of the best experts on this subject based on the ideXlab platform.
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A Study of Vertical Dwelling Design Model Based on Community Interaction in Winongo Riverbank Yogyakarta
ARTEKS : Jurnal Teknik Arsitektur, 2019Co-Authors: Sidhi Pramudito, Antonius Lanang Tegar Wicaksana Praptantya, David Jeffry NasirAbstract:Riverbanks are one of the urban areas that often experience decrease in its environment quality. This is caused by the improper utilization of riverbanks as a living space. Consequently, the quality of adequate housing for the Community is difficult to achieve. Although the government has tried to build flats as a solution to the problem, some residents choose to abandon them because of its formal and rigid vertical dwelling model that make the residents feel lack of togetherness and Interaction between Community. This kind of communal perspectives sometimes cannot be found when they live in horizontal dwelling (kampung). The purpose of this paper is to generate recomendation for a vertical dwelling model based on the form of Community Interaction in Kampung Gampingan, located at the Winongo River. The paper is expected to be an alternative solution for stakeholders in planning and designing settlements, especially in villages on the banks of urban rivers.
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Studi Model Rancangan Hunian Vertikal Berdasarkan Bentuk Interaksi Warga Di Bantaran Sungai Winongo YOGYAKARTA (a Study of Vertical Dwelling Design Model Based on Community Interaction in Winongo Riverbank YOGYAKARTA)
ARTEKS Jurnal Teknik Arsitektur, 2019Co-Authors: Sidhi Pramudito, W P Antonius Lanang Tegar, David Jeffry NasirAbstract:Riverbanks are one of the urban areas that often experience decrease in its environment quality. This is caused by the improper utilization of riverbanks as a living space. Consequently, the quality of adequate housing for the Community is difficult to achieve. Although the government has tried to build flats as a solution to the problem, some residents choose to abandon them because of its formal and rigid vertical dwelling model that make the residents feel lack of togetherness and Interaction between Community. This kind of communal perspectives sometimes cannot be found when they live in horizontal dwelling (kampung). The purpose of this paper is to generate recomendation for a vertical dwelling model based on the form of Community Interaction in Kampung Gampingan, located at the Winongo River. The paper is expected to be an alternative solution for stakeholders in planning and designing settlements, especially in villages on the banks of urban rivers.
Arijit Ghosh Chowdhury - One of the best experts on this subject based on the ideXlab platform.
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arhnet leveraging Community Interaction for detection of religious hate speech in arabic
Meeting of the Association for Computational Linguistics, 2019Co-Authors: Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn ShahAbstract:The rapid widespread of social media has lead to some undesirable consequences like the rapid increase of hateful content and offensive language. Religious Hate Speech, in particular, often leads to unrest and sometimes aggravates to violence against people on the basis of their religious affiliations. The richness of the Arabic morphology and the limited available resources makes this task especially challenging. The current state-of-the-art approaches to detect hate speech in Arabic rely entirely on textual (lexical and semantic) cues. Our proposed methodology contends that leveraging Community-Interaction can better help us profile hate speech content on social media. Our proposed ARHNet (Arabic Religious Hate Speech Net) model incorporates both Arabic Word Embeddings and Social Network Graphs for the detection of religious hate speech.
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ACL (2) - ARHNet - Leveraging Community Interaction for Detection of Religious Hate Speech in Arabic
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2019Co-Authors: Arijit Ghosh Chowdhury, Aniket Didolkar, Ramit Sawhney, Rajiv Ratn ShahAbstract:The rapid widespread of social media has lead to some undesirable consequences like the rapid increase of hateful content and offensive language. Religious Hate Speech, in particular, often leads to unrest and sometimes aggravates to violence against people on the basis of their religious affiliations. The richness of the Arabic morphology and the limited available resources makes this task especially challenging. The current state-of-the-art approaches to detect hate speech in Arabic rely entirely on textual (lexical and semantic) cues. Our proposed methodology contends that leveraging Community-Interaction can better help us profile hate speech content on social media. Our proposed ARHNet (Arabic Religious Hate Speech Net) model incorporates both Arabic Word Embeddings and Social Network Graphs for the detection of religious hate speech.