Dataset and R Code for Correlates of Contestation Against Religious Authorities in Medieval Inquisitorial Testimonies

This deposit contains the dataset and R code necessary to reproduce all statistical analyses reported in the article “Correlates of Contestation Against Religious Authorities in Medieval Inquisitorial Testimonies”. The study examines 4,357 testimonies drawn from 20 inquisition registers across Latin Christendom (1243–1522), investigating how explicit contestations of religious authority correlate with dissident religious affiliation, gender, urban context, and chronology.analyses.RComplete R script implementing the analysis workflow: descriptive statistics, register-level beta regression, testimony-level multilevel logistic regression, and random-forest permutation importance with bootstrap. Produces all tables and figures reported in the manuscript.testimonies.tsvTab-separated, UTF-8 encoded file containing the testimony-level dataset (n = 4,357). Each row corresponds to one testimony. Column documentation:d1_fname – Unique identifier of the document (string).d2_ter – Register short name (string; 20 registers in corpus).d3_title – First 20 characters of the text (for license/reproducibility checks).Y – Dependent variable: testimony contains contestation against religious authorities (1 = yes, 0 = no).x1_urban – Urban setting of the register (1 = urban, 0 = non-urban).x2_date – Mean date of the register (decimal year; .5 = 1 July).x3_deprel – Religious affiliation of the deponent (categorical: Apostles, Beguins, Cathars, Guglielmites, Lollards, Waldensians, Other_heterodox, Non_heterodox).x4_gender – Gender of the deponent (1 = male, 0 = female).c1_tok – Number of tokens (linguistic words) in the testimony (integer).c2_lex – Lexical diversity of the testimony (MTLD measure; float).c3_qf – Number of inquisitorial questions in the testimony (integer).testimonies_variables.tsvTab-separated, UTF-8 encoded file, lookup table linking column names of testimonies.tsv to labels (used in tables and figures).results.rdsOutput RDS object (produced by running the R code) containing testimonies, variables, fitted models, marginal effects, and bootstrap variable importance.