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This article offers a new approach to early modern global history, dubbed (dis)entangled history as a way to combine the conventional focus on the history of connections with a necessary appreciation of the elements of disconnection and disintegration. To exemplify this approach, it offers a case study related to the history of cannibalism as both a disputed anthropophagic practice and a cultural reference point across the early modern world. Through a rich multilingual and multimedia source base, we trace how the idea of Indigenous Tapuya endo-cannibalism in Brazil travelled across the Atlantic through Europe and Africa to East Asia. The idea of Tapuya cannibalism crossed some linguistic borders, stopped at others and interacted unevenly with long-standing Ottoman, Polish, West African, Islamic and Chinese ideas about ‘cannibal countries’, of which it was just one more example. This trajectory challenges the historiographical consensus that early modern ideas about cannibalism were centred on the Atlantic world. By tracing how one particular discourse did and did not travel around the globe, this article offers not just a theoretical statement, but a ‘fleshed out’ and concrete approach to writing about intermittent connectedness during the period 1500–1800.

Future education requires fostering high-level competencies to enhance student talent, and artificial intelligence (AI) can help in profile analysis. The aim was to determine the variables that predict the GPA of students in the 'Leaders of Tomorrow' program through an integrated methodology of data analytics, machine learning modeling, and feature engineering in order to generate knowledge about the application of AI in social impact programs. This research focused on 466 graduates of a 'Leaders of Tomorrow'. A regression analysis was performed to model the relationship between the dependent variable and multiple independent variables. The findings revealed: (a) Analysis of variance (ANOVA) demonstrated exceptional model fit for predicting 'student.term_Grade Academic Performance (GPA)_program' with an R-squared of 0.999; (b) Visual analysis showed that significant variables like age and origin-school Grade-Point Average (GPA) affect term GPA; (c) Kendall tau correlation revealed a positive correlation of origin-school GPA with term GPA and a slightly negative one with age; (d) Support Vector Machine (SVM) regression aligned actual and predicted GPAs closely, indicating high accuracy; and (e) Recursive Feature Elimination (RFE) identified 'student_originSchool.gpa' as the most predictive feature. This study is intended to be of value to academic communities interested in enhancing the academic profiles of students with complex competencies, as well as communities interested in applying AI in education for predictions that contribute to trajectories for training.

A study of funerary monuments honoring children in Renaissance Poland is reviewed (Ashgate, 2011).

Tworek reviews Commemorating the Polish Renaissance Child: Funeral Monuments and Their European Context by Jeannie Labno.

Tworek reviews Tentorium honorum: Essays Presented to Frank E. Sysyn on His Sixtieth Birthday edited by Olga A. Andriewsky, Zenon E. Kohut, Serhii Plokhy and Larry Wolff.