第20回ワークショップ：「Machine-learning human rights: an empirical study of constitutions around the world in 1900-2020」
コーネル大学ロースクール東アジア法と文化クラークプログラムとの共催
日時：2023年7月14日（金）15:00～16:40
場所：オンライン（Zoomミーティング）
言語：英語
タイトル：Machine-learning human rights: an empirical study of constitutions around the world in 1900-2020
報告者：Yun-chien Chang [Cornell Law School]
司会：藤谷武史（東大社研）
対象：一般公開
報告要旨：Drawing on a dataset of national constitutions, we introduce a new method for analyzing and categorizing legal documents. Whereas most approaches use unsupervised methods, we also draw on a supervised machine-learning method known as SEMMS. We apply both supervised and unsupervised machine- learning algorithms to the rights provisions in national constitutions. Our approach produces groupings of constitutions that confirm findings of other scholars, but also identifies some unconventional groupings. We are also able to analyze switchers, by which we mean those countries that move from one grouping to another, and thereby to identify moments of constitutional transition. Key variables that distinguish groupings and transitions are identified. We suggest that our technique and categorization can potentially produce gains for other areas in which large corpuses of legal materials are available.
