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Titlebook: Organising during the Coronavirus Crisis; The Contradictions o Mike Healy Book 2022 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 18:10:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Organising during the Coronavirus Crisis
副標(biāo)題The Contradictions o
編輯Mike Healy
視頻videohttp://file.papertrans.cn/705/704303/704303.mp4
概述Offers a unique international qualitative study of the role of digital technologies during the COVID-19 crisis.Focuses on community activism, mental health, trade union organisation, the creative arts
圖書(shū)封面Titlebook: Organising during the Coronavirus Crisis; The Contradictions o Mike Healy Book 2022 The Editor(s) (if applicable) and The Author(s), under
描述.This book investigates the use of digital technologies for social organisation during the Covid-19 pandemic, interrogating the specific relationship between digital technologies and social movements. Drawing upon Marx’s theory of alienation and Antonio Gramsci’s concepts concerning common-sense, good sense, hegemony and praxis, the author examines the effectiveness of digital technologies in filling the social void created by the pandemic...A series of in-depth interviews across a spectrum of areas – from community activism, mental health, trade union organisation, the creative arts, and resistance movements – reveal how digital technologies flourished during the pandemic crisis, facilitating new ways to communicate. However, the interviews also throw into sharp relief the inadequacies of digital technologies. The book challenges conventional wisdom concerning the beneficial impact of digital machines on our lives. ..This book will have a broad appeal to anyone researching or teaching the societal, ethical and political implications of digital technologies, particularly from a qualitative perspective. It also has relevance for a wider readership concerned about the influence of so
出版日期Book 2022
關(guān)鍵詞digital humanities; digital technologies; social movements; community activism; ICT; Covid-19 pandemic; so
版次1
doihttps://doi.org/10.1007/978-981-19-1942-8
isbn_softcover978-981-19-1944-2
isbn_ebook978-981-19-1942-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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發(fā)表于 2025-3-21 20:54:38 | 只看該作者
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發(fā)表于 2025-3-22 01:22:47 | 只看該作者
Mike Healyn field struggles to offer long-term and long-lasting solutions to youth’s alternative academic choices. This chapter extends the earlier information of both theory and concept by providing a transdisciplinary model for NFE that links education and adolescents’ work. It extends the idea of Community
地板
發(fā)表于 2025-3-22 04:48:24 | 只看該作者
Mike Healyn field struggles to offer long-term and long-lasting solutions to youth’s alternative academic choices. This chapter extends the earlier information of both theory and concept by providing a transdisciplinary model for NFE that links education and adolescents’ work. It extends the idea of Community
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發(fā)表于 2025-3-22 10:33:03 | 只看該作者
Mike Healyn field struggles to offer long-term and long-lasting solutions to youth’s alternative academic choices. This chapter extends the earlier information of both theory and concept by providing a transdisciplinary model for NFE that links education and adolescents’ work. It extends the idea of Community
6#
發(fā)表于 2025-3-22 15:08:25 | 只看該作者
Mike Healy8. Available at: https://gdpr-info.eu/. Accessed 27/02/2020), stakeholders in developing AI systems have had to interpret and implement Article 22 concerning an individual’s rights in the context of automated decision making, the ability of AI to explain decisions and the logic involved, and to deve
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發(fā)表于 2025-3-22 17:46:47 | 只看該作者
Mike Healyg and highly experience-dependent. Recent advance in scanning speed, scanning resolution, and image quality shunts the lights on digitizing pathology images. Many promising and successful stories of artificial intelligence (AI) in diagnosing assistance further boost the acceptance of digital patholo
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發(fā)表于 2025-3-23 00:37:11 | 只看該作者
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發(fā)表于 2025-3-23 03:14:59 | 只看該作者
y, deep neural networks have gained the attention of the machine learning community for surpassing human-level performance in a variety of tasks. To reach these excellent results, an expert needs to spend a significant amount of time designing the neural configuration, such as the best architecture,
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發(fā)表于 2025-3-23 07:28:06 | 只看該作者
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