Values Reconciliation: Constructing the Exemplary Ideal Personhood through Overseas Education

Chen, Juan

doi:10.1177/1868102619849761

Cited by 17 publications

(4 citation statements)

References 36 publications

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“…Firstly, shiminhua is based on the understanding of rural-urban division on a continuum. This understanding of the rural-urban nexus challenged the traditional view on urbanization process based on the dual sector of rural-urban dichotomy where the integration process ends once the rural-urban migrants become full urban residents (Chen, 2019;Feng, 2017;Gui et al, 2012;Lewis, 1954). The pitfalls of this dichotomy model are threefold: that urban residents are not homogeneous (Fields, 2004); that urban natives may not be equivalent to the 'mainstream society' defined by ethnics and dominating culture, as in acculturation and assimilation theories there are no visible ethnocultural groups either (Glazer, 1993;Zhang, 2005); and that there is no existing, perfectly urbanized personas pointed out by Xiaotong Fei -Chinese society, including the modern, urban sector, is essentially earth-bound with certain rural characteristics (Fei, 1943(Fei, , 1992.…”

Section: Conceptualizing Shiminhuamentioning

confidence: 99%

Understanding Shiminhua in Chinese Greater Bay Area: Internalizing urban identity and negotiating place attachment

Zhao

2023

Regional Science Policy & Practice

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This article aims to investigate the question: How does the process of urbanisation of rural‐urban migrants (shiminhua) unfold in Chinese cities? It focuses upon the urbanisation of people in the contextualised concept of shiminhua. This paper mainly adopted qualitative methods of focus group discussions (FGDs) and semi‐structured interviews in three GBA cities. The results indicate that shiminhua is an incremental process of gaining internalised urban identity and negotiated place attachment. It implies that successful shiminhua process in GBA comprise efforts from multiple levels of stakeholders. Regional policy and urban governance strategy should understand shiminhua more comprehensively to facilitate successful shiminhua process.

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Section: Conceptualizing Shiminhuamentioning

confidence: 99%

Understanding Shiminhua in Chinese Greater Bay Area: Internalizing urban identity and negotiating place attachment

Zhao

2023

Regional Science Policy & Practice

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“…Covers concepts about Chinese home, family, social, culture, and immigrant. [191,192,213,214] Japan Covers issues related to families and homes that are specific to Japan and Japanese society. [193][194][195][196][197][198] Australia It focuses on issues specific to the Australian society and families.…”

Section: Summary and Temporal Analysismentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

et al. 2022

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Homes are the building block of cities and societies and therefore smart homes are critical to establishing smart living and are expected to play a key role in enabling smart, sustainable cities and societies. The current literature on smart homes has mainly focused on developing smart functions for homes such as security and ambiance management. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, and the roles of smart homes that will serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public, using over a hundred thousand research papers and nearly a million tweets. We developed a methodology using deep learning, natural language processing (NLP), and big data analytics methods (BERT and other machine learning methods) and applied it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100 s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

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“…These four aspects serve as a reflection of Chinese society today. Chen [223] assert that middle-class Chinese families believe higher education is necessary in order to develop their socialist ideal personas and make significant contributions to society. Gao [224] compared two Chinese cultures in terms of life index and antecedents.…”

Section: Chinamentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

Alqahtani¹,

Janbi²,

Sharaf³

et al. 2022

Preprint

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Technological advancements and innovations have profoundly changed the lives of people giving rise to smart environments, cities, and societies. As homes are the building block of cities and societies, smart homes are critical to establishing smart living and are expected to play a key role in enabling smart cities and societies. The current academic literature and commercial advancements on smart homes have mainly focused on developing and providing smart functions for homes to provide security management and facilitate the residents in their various activities such as ambiance management. Homes are much more than physical structures, buildings, appliances, operational machines, and systems. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, the roles of smart homes that would serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, rather fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public using over a hundred thousand research papers and nearly a million tweets. We develop a methodology using deep learning, natural language processing (NLP), and big data analytics methods and apply it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific, policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

show abstract

Values Reconciliation: Constructing the Exemplary Ideal Personhood through Overseas Education

Cited by 17 publications

References 36 publications

Understanding Shiminhua in Chinese Greater Bay Area: Internalizing urban identity and negotiating place attachment

Understanding Shiminhua in Chinese Greater Bay Area: Internalizing urban identity and negotiating place attachment

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

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