Diabolical Consumerism: Mass Psychology and Social Production between the Gilded and the Golden Ages

Roller, Michael P.

doi:10.1007/978-3-319-12760-6_2

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…This large-scale migration to the region created a ready workforce, although there were often more available workers than jobs. Surplus labor allowed the coal operators to keep wages relatively low with the threat that there were more available hungry men willing to move into the labor system (Roller 2015 , 2018 ). The coal operators also believed that the new, ethnically diverse workforce would make the Irish coal workers’ efforts to organize very difficult (Barendse 1981 : 7–8, 24–28; Brooks 1898 ; Greene 1968 ; Miller and Sharpless 1998 : 170–173; Roberts 1970 [ 1904 ]).…”

Section: Case Study Background: Anthracite Region Of Pennsylvania Usamentioning

confidence: 99%

“…The newest immigrants to the region encountered the growing US national xenophobia (Dublin 1998 ; Roller 2015 ; Shackel 2023 ). The racialized inequalities the new immigrants faced were justified and seen as part of the natural order and justified through religion and ideology, empirical science, and formal science.…”

Section: Case Study Background: Anthracite Region Of Pennsylvania Usamentioning

confidence: 99%

“…The Report on Immigration (US Senate 1911 ) has a section that ranks coal workers’ ability for specific tasks based on nationality. It places the eastern and southern Europeans at the bottom of the scale of each occupation and they do not even qualify for supervisory or technical positions (Roller 2015 b).…”

Section: Case Study Background: Anthracite Region Of Pennsylvania Usamentioning

confidence: 99%

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Text Mining Oral Histories in Historical Archaeology

Brown

Shackel

2023

Int J Histor Archaeol

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Advances in text mining and natural language processing methodologies have the potential to productively inform historical archaeology and oral history research. However, text mining methods are largely developed in the context of contemporary big data and publicly available texts, limiting the applicability of these tools in the context of historical and archaeological interpretation. Given the ability of text analysis to efficiently process and analyze large volumes of data, the potential for such tools to meaningfully inform historical archaeological research is significant, particularly for working with digitized data repositories or lengthy texts. Using oral histories recorded about a half-century ago from the anthracite coal mining region of Pennsylvania, USA, we discuss recent methodological developments in text analysis methodologies. We suggest future pathways to bridge the gap between generalized text mining methods and the particular needs of working with historical and place-based texts.

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Section: Case Study Background: Anthracite Region Of Pennsylvania Usamentioning

confidence: 99%

Section: Case Study Background: Anthracite Region Of Pennsylvania Usamentioning

confidence: 99%

Section: Case Study Background: Anthracite Region Of Pennsylvania Usamentioning

confidence: 99%

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Text Mining Oral Histories in Historical Archaeology

Brown

Shackel

2023

Int J Histor Archaeol

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“…These new immigrants were easily enticed to the coalfields because of their home countries' deteriorating economic and political conditions. These new immigrants to northeastern Pennsylvania faced poor living and working conditions, and underemployment (Dublin 1998;Greene 1968;Miller and Sharpless 1998, 170-173;Roberts 1970Roberts , [1904; Roller 2015Roller , 2018.…”

Section: Introductionmentioning

confidence: 99%

Anthracite memories: semantic tagging and coal mining oral histories

Brown,

Shackel

2023

International Journal of Heritage Studies

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Oral histories are a critical source of information about lived experiences of past events. They have been analysed both for their form -linguistically as texts, performances, and expressive accounts -and their content for understanding historic events and personal experiences. Here we focus on sentiment analysis approaches frequently applied to big data research questions, but less often utilised by anthropologists working with oral histories. Oral histories collected half a century ago in the anthracite mining communities of northeastern Pennsylvania are examined by considering methodological and historical questions. This project explores how oral history and data science might be productively combined to understand these now historic communities' everyday lives and working conditions. Bakhtin's (1981) concept of chronotope helps us understand the memory of these anthracite coal mining communities' daily life and working conditions.

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Capitalism: Historical Archaeology

Kepecs

2020

Encyclopedia of Global Archaeology

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Diabolical Consumerism: Mass Psychology and Social Production between the Gilded and the Golden Ages

Cited by 6 publications

References 35 publications

Text Mining Oral Histories in Historical Archaeology

Text Mining Oral Histories in Historical Archaeology

Anthracite memories: semantic tagging and coal mining oral histories

Capitalism: Historical Archaeology

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