17
Views
0
CrossRef citations to date
0
Altmetric
Articles

Patterns of Commemoration: The Texas Historical Markers Program

Received 31 May 2023, Accepted 10 Nov 2023, Published online: 08 Apr 2024
 

Abstract

In this article, we explore the text of more than 16,000 historical markers erected in Texas since 1936 to try and understand how the state tells its story to the public. To do so, we use geographic information systems (kernel density and Moran’s I statistics) and corpus linguistics (CL) to determine the where, what, who, when, and how of commemoration in Texas. Our results show very distinct spatiotemporal and thematic patterns in the distribution of markers in Texas, with markers concentrated in the eastern half of the state and in the most populated areas. As measured by kernel density, cores of commemoration moved from Austin in the 1930s through the 1960s to Dallas in the 1970s and 1980s and then to Houston in the 1990s through the 2010s. What emerges from CL’s semantical analysis is a thematical transition that occurred in the 1970s and continues today, from narratives of war and conflict to narratives of peace, family, and community. As measured by Moran’s I statistics, this shift is especially evident in the populous eastern part of the state. Overall, the markers offer a vision of Texas as a unique land shaped by interactions between multiple groups in the context of a historic borderland.

本文研究1936年以来美国德克萨斯州竖立的16,000多个历史标记的文本, 试图了解该州如何向公众讲述它的故事。为此, 我们使用地理信息系统(核密度和Moran’s I统计)和语料库语言学(CL), 确定德克萨斯州历史纪念的地点、内容、对象、时间和方式。结果显示, 德克萨斯州标记的分布具有非常明显的时空和主题模式, 标记集中分布于该州的东半部和人口最稠密地区。根据核密度统计, 纪念中心从20世纪30年代至60年代的奥斯汀, 转移到70年代和80年代的达拉斯, 随后在90年代至2010年代转移到休斯顿。CL语义分析揭示了20世纪70年代延续至今的主题转变: 从战争和冲突叙事到和平、家庭和社区叙事。根据Moran’s I统计, 这种转变在人口稠密的东部地区尤为明显。总体来说, 这些标记使得德克萨斯州成为一片独特的土地——在位于边疆的历史背景下, 多群体的互动塑造了这片土地。

En este artículo, exploramos el texto de más de 16.000 marcadores históricos desplegados en Texas desde 1936 para tratar de comprender cómo cuenta el estado su historia al público. Al respecto, usamos los sistemas de información geográfica (la densidad kernel y la estadística I de Moran) y la lingüística de corpus (CL) para establecer el dónde, qué, quién, cuándo y cómo de la conmemoración en Texas. Nuestros resultados muestran patrones espaciotemporales y temáticos bien definidos de la distribución de los marcadores en Texas, con los marcadores concentrados en la mitad oriental del estado y en las áreas más pobladas. Medidos por la densidad kernel, los núcleos de conmemoración se desplazaron desde Austin en la década de 1930 hasta los años 1960, a Dallas en los años 1970 y 1980, y después hacia Houston desde los años 1990 hasta los 2010. Lo que se desprende del análisis semántico del CL es una transición temática que se dio en los años 1970 y que hoy continúa, partiendo de las narrativas de la guerra y el conflicto a las narrativas de paz, familia y comunidad. Medido con la estadística I de Moran, este cambio es especialmente evidente en la populosa parte oriental del estado. En general, los marcadores dan una visión de Texas como la de una tierra única, configurada por las interacciones entre múltiples grupos, dentro del contexto de una zona fronteriza histórica.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Yusik Choi

YUSIK CHOI is a graduate of the PhD program in Geography in the Department of Geography and Environmental Studies at Texas State University, San Marcos, TX 78666. E-mail: [email protected]. His research interests include the geography of commemoration, historical GIS, and big data techniques for text analysis.

Alberto Giordano

ALBERTO GIORDANO is a Professor in the Department of Geography and Environmental Studies at Texas State University, San Marcos, TX 78666. E-mail: [email protected]. His research interests include Holocaust and genocide studies, spatial humanities, GIScience, and spatial forensics.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 198.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.