Tracing institutional change in the officer corps using textual data from a military school: promise, pitfalls, and ethical considerations

Abstract In recent decades, researchers have analyzed professional military education (PME) organizations to understand the characteristics and transformation of the core of military culture, the officer corps. Several historical studies have demonstrated the potential of this approach, but they were limited by both theoretical and methodological hurdles. This paper presents a new historical-institutionalist framework for analyzing officership and PME, integrating computational social science methods for large-scale data collection and analysis to overcome limited access to military environments and the intensive manual labor required for data collection and analysis. Furthermore, in an era where direct demographic data are increasingly being removed from the public domain, our indirect estimation methods provide one of the few viable alternatives for tracking institutional change. This approach will be demonstrated using web-scraping and a quantitative text analysis of the entire repository of theses from an elite American military school.

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Publication Details

Journal
Data & Policy
Published
2025-01-01
DOI
https://doi.org/10.1017/dap.2025.10005
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Tracing institutional change in the officer corps using textual data from a military school: promise, pitfalls, and ethical considerations

Tamir Libel, Krystal K. Hachey
Data & Policy
Computational and Text Analysis Methods
article

Tracing institutional change in the officer corps using textual data from a military school: promise, pitfalls, and ethical considerations

Tamir Libel, Krystal K. Hachey
article en

Abstract

Abstract In recent decades, researchers have analyzed professional military education (PME) organizations to understand the characteristics and transformation of the core of military culture, the officer corps. Several historical studies have demonstrated the potential of this approach, but they were limited by both theoretical and methodological hurdles. This paper presents a new historical-institutionalist framework for analyzing officership and PME, integrating computational social science methods for large-scale data collection and analysis to overcome limited access to military environments and the intensive manual labor required for data collection and analysis. Furthermore, in an era where direct demographic data are increasingly being removed from the public domain, our indirect estimation methods provide one of the few viable alternatives for tracking institutional change. This approach will be demonstrated using web-scraping and a quantitative text analysis of the entire repository of theses from an elite American military school.

Data & PolicyVol. 7
Department of National Defence (CA), University of Bamberg (DE)
Openalex Percentile: Top 74%
Computational and Text Analysis Methods
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