Evaluation of the synergy degree of industrial de-capacity policies based on text mining: A case study of China's coal industry

2022 ◽  
Vol 76 ◽  
pp. 102547
Author(s):  
Dandan Liu ◽  
Delu Wang
Keyword(s):  
Text Mining ◽  
Coal Industry

Disability and Work During the Industrial Revolution in Britain

2018 ◽  
Author(s):  
Daniel Blackie
Keyword(s):  
Disability Studies ◽  
Industrial Development ◽  
Industrial Revolution ◽  
Coal Industry ◽  
Historical Research ◽  
Disabled People ◽  
Industrial Sites ◽  
The Past ◽  
Paid Employment

A common claim in disability studies is that industrialization has marginalized disabled people by limiting their access to paid employment. This claim is empirically weak and rests on simplified accounts of industrialization. Use of the British coal industry during the period 1780–1880 as a case study shows that reassessment of the effect of the Industrial Revolution is in order. The Industrial Revolution was not as detrimental to the lives of disabled people as has often been assumed. While utopian workplaces for disabled people hardly existed, industrial sites of work did accommodate quite a large number of workers with impairments. More attention therefore needs to be paid to neglected or marginalized features of industrial development in the theorization of disability. Drawing on historical research on disability in the industrial workplace will help scholars better understand the significance of industrialization to the lives of disabled people, both in the past and the present.

scholarly journals Just Transition as a Tool for Preventing Energy Poverty among Women in Mining Areas—A Case Study of the Silesia Region, Poland

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3372
Author(s):  
Olga Janikowska ◽  
Joanna Kulczycka
Keyword(s):  
Age Groups ◽  
Single Women ◽  
Coal Industry ◽  
Major Conclusion ◽  
Energy Transformation ◽  
Energy Poverty ◽  
Mining Areas ◽  
Transition Strategy ◽  
Mining Regions

The inevitable energy transformation can be perceived as an opportunity and as a threat to the actions undertaken to prevent energy poverty in European mining regions. Silesia is a special exemplification of the European region whose economy has been based on coal industry for centuries. There are still about 70,000 miners and coal is also widely used for heating households. Based on developed map of jobs lost in mining and related industry and the demographic and social data the proposal of activities addressed to different group of people has been created. It was also indicated that energy poverty in Poland mainly concerns households inhabited by single women. Therefore, the major conclusion of the paper is postulated that the Just Transition strategy should be extended by issues strictly related to the situation of women in the future labor market. Additionally, the concept of a special hub for women, whose aim would be professional activation of women of various age groups, has been introduced.

Are Universities Ready to Deliver Digital Skills and Competences? A Text Mining Driven Case Study on Marketing Courses in Italy

2021 ◽  
Author(s):  
Irene Spada ◽  
Filippo Chiarello ◽  
Simone Barandoni ◽  
Gianluca Ruggi ◽  
Martini Antonella ◽  
...  
Keyword(s):  
Text Mining ◽  
Digital Skills

A framework for text mining on Twitter: a case study on joint comprehensive plan of action (JCPOA)- between 2015 and 2019

2021 ◽  
Author(s):  
Rashid Behzadidoost ◽  
Mahdieh Hasheminezhad ◽  
Mohammad Farshi ◽  
Vali Derhami ◽  
Farinaz Alamiyan-Harandi
Keyword(s):  
Text Mining ◽  
Comprehensive Plan

Digital Historicism and the Historicity of Digital Texts

2019 ◽  
pp. 66-100
Author(s):  
James E. Dobson
Keyword(s):  
Text Mining ◽  
Computational Methods ◽  
Historical Research ◽  
Affective Content ◽  
Digital Texts ◽  
Sentiment Mining ◽  
Interpretive Framework

This chapter takes up several important theoretical problems and complexities introduced by text mining and datafication to historiography and historical research in order to think about the problems and promises of a digital historicism. The chapter argues for an approach that takes the historicity of the digitized archive seriously without reducing the use of computational methods to either those framed strictly by the terms and language of the present or to a form of rigid historicism that would require enclosing the archive in synchronically constructed interpretive framework. Many of the approaches used within text mining deploy secondary archives—dictionaries, thesauruses, and other forms of human-constructed schemata—that have tended to capture categories used in the present. The chapter concludes by examining the methods and practice of extracting and analyzing emotional or affective content in texts through what is called sentiment mining. Functioning as a case study, sentiment mining demonstrates the need for quantitative and computational humanists to give more attention to the historical dimensions of both text and affect, to both primary and secondary digital sources.

Sign in / Sign up

Export Citation Format

Share Document