Work Description

readme.txt

Date last updated: 2023-04-07

Dataset title: An analysis of colonialism, expansionism, and imperialism in cultural policy scholarship

Dataset creators: Antonio Cuyler, Matthew Carruthers, & Jason Imbesi

Contact email: mcarruth@umich.edu

Date Coverage: 1969-2022

Research overview: Building on previous research (Cuyler, A., Carruthers, M., Imbesi, J. 2023. “Cultural Policy of the Oppressed” [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/9e20-zg88), we performed a qualitative textual analysis of three related areas of oppression, colonialism, expansionism, and imperialism, and how they have been discussed within cultural policy research. The analysis focused on three major cultural policy journals, Cultural Trends, the Journal of Arts Management, Society, and Law, and the International Journal of Cultural Policy.

Methodology: The research team downloaded the full text PDF articles for all matches found for the three terms in the initial searches, so that the embedded machine-readable text could be used as the corpus for the analysis. The team used AntConc v4.2 (Anthony 2022) to perform the textual analysis of the corpus. AntConc was chosen because it automatically provides some preprocessing of the text, including tokenization, and analyses performed are not case sensitive unless otherwise specified. It also supports the use of wildcards and regex for searching.

The articles were delineated into separate corpora for analysis by search term and journal. Four analyses were performed for each corpus. The first is a term frequency analysis on variations of the search terms using wildcards in order to find all variations and counts of each term mentioned in the corpus, as well as statistical calculations of distribution and range throughout each article. The second was a term frequency analysis of all words in the articles to find the most common terminology used throughout each corpus. Third was a collocation analysis of words commonly found within close proximity to the search terms, within 25 words to the right or left within the text. This provides some additional context around how each search term is being discussed. Finally, a term frequency analysis was performed for all other search terms from our initial search term set, in order to see what other forms of oppression appear commonly in the same articles as mentions of colonialism, expansionism, and imperialism.

File inventory:
Charts.xlsx - contains publishing patterns in each journal over time expressed as graphs.
CSV versions of the Charts.xlsx file are also included: Charts-CT.csv, Charts-JAMLS.csv, Charts-IJCP.csv, and Charts-Averages_since_2000.csv

Folders contain CSV files of analysis results for each of the analyses conducted, organized by journal.
Files containing "AllWord" in the file name denote results for term frequency analysis of all words in the articles to find the most common terminology used throughout each corpus. "AllWord_results_filtered" files are the results of the "AllWord" files after being run through a standard English stopword list.
Files containing "Collocate" in the file name denote results of the collocation analysis of words commonly found within close proximity to the search terms. Note that there were no results for collocated terms with expansionis* in Cultural Trends, so that file does not exist.
Files containing "Plot" in the file name denote results of the term frequency analysis of all variations of the search terms, as well as distribution and range calculations.
Files containing "Word" and "Cluster" in the file name denote results of the term frequency analysis was performed for all other search terms from our initial search term set. "Word" files contain results for single word search terms. "Cluster" files contain results for multi-word search terms.

Abbreviations:
IJCP = International Journal of Cultual Policy
CT = Cultural Trends
JAMLS = Journal of Arts Management, Law, and Society

Use and access:
This data is available under an Attribution-NonCommercial 4.0 INternational (CC BY-NC 4.0) license, http://creativecommons.org/licenses/by-nc/4.0/.

To Cite this data:
Cuyler, A., Carruthers, M., Imbesi, J. An analysis of colonialism, expansionism, and imperialism in cultural policy scholarship [Data set], University of Michigan - Deep Blue Data.