9781040016657.pdf

This edited collection combines state-of-the-art legal data analytics with in-depth doctrinal analysis to study the Supreme Court of Canada (SCC), Canada’s top court. A data analytics perspective adds new dimensions to the study of courts and their case law. It renders legal analysis scalable, makin...

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Γλώσσα:English
Έκδοση: Taylor & Francis 2024
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spelling oapen-20.500.12657-905572024-05-24T02:25:49Z Decoding the Court: Legal Data Insights from the Supreme Court of Canada Alschner, Wolfgang MacDonnell, Vanessa Mathen, Carissima Supreme Court of Canada;legal data analytics;digital humanities;computational legal studies;quantitative analysis;judicial analytics;empirical analysis;qualitative analysis;citation networks;network analysis;legal text mining;natural language processing;apex courts;majority opinion;dissenting opinion;separation of powers;civil law;common law;leave applications;comparative constitutional law thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LNQ IT and Communications law / Postal laws and regulations thema EDItEUR::J Society and Social Sciences::JP Politics and government thema EDItEUR::L Law::LN Laws of specific jurisdictions and specific areas of law::LND Constitutional and administrative law: general thema EDItEUR::L Law::LA Jurisprudence and general issues::LAM Comparative law This edited collection combines state-of-the-art legal data analytics with in-depth doctrinal analysis to study the Supreme Court of Canada (SCC), Canada’s top court. A data analytics perspective adds new dimensions to the study of courts and their case law. It renders legal analysis scalable, making it possible to investigate thousands of judicial decisions, adding new breadth and depth. It also enables researchers to combine doctrinal questions about how the law evolves with institutional questions about how courts operate, shedding new light on how law works in practice. By applying a range of methods to study the content of SCC decisions, this work bridges the gap between qualitative and quantitative research. Demonstrating how new analytical perspectives can generate new insights about the Supreme Court, an institution which is closely studied by scholars both within and outside Canada, the book will be essential reading for legal scholars and political scientists, particularly those working in public law and in empirical legal studies. 2024-05-23T12:30:05Z 2024-05-23T12:30:05Z 2024 book 9781003279112 9781040016688 9781032245256 https://library.oapen.org/handle/20.500.12657/90557 eng application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 9781040016657.pdf Taylor & Francis Routledge 10.4324/9781003279112 10.4324/9781003279112 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb 9781003279112 9781040016688 9781032245256 Routledge 158 open access
institution OAPEN
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language English
description This edited collection combines state-of-the-art legal data analytics with in-depth doctrinal analysis to study the Supreme Court of Canada (SCC), Canada’s top court. A data analytics perspective adds new dimensions to the study of courts and their case law. It renders legal analysis scalable, making it possible to investigate thousands of judicial decisions, adding new breadth and depth. It also enables researchers to combine doctrinal questions about how the law evolves with institutional questions about how courts operate, shedding new light on how law works in practice. By applying a range of methods to study the content of SCC decisions, this work bridges the gap between qualitative and quantitative research. Demonstrating how new analytical perspectives can generate new insights about the Supreme Court, an institution which is closely studied by scholars both within and outside Canada, the book will be essential reading for legal scholars and political scientists, particularly those working in public law and in empirical legal studies.
title 9781040016657.pdf
spellingShingle 9781040016657.pdf
title_short 9781040016657.pdf
title_full 9781040016657.pdf
title_fullStr 9781040016657.pdf
title_full_unstemmed 9781040016657.pdf
title_sort 9781040016657.pdf
publisher Taylor & Francis
publishDate 2024
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