Searching for a reference : using automated text analysis to study judicial compliance

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F18%3A00101220" target="_blank" >RIV/00216224:14230/18:00101220 - isvavai.cz</a>

Výsledek na webu

<a href="https://journals.muni.cz/mujlt/article/view/9068" target="_blank" >https://journals.muni.cz/mujlt/article/view/9068</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5817/MUJLT2018-2-2" target="_blank" >10.5817/MUJLT2018-2-2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Searching for a reference : using automated text analysis to study judicial compliance

Popis výsledku v původním jazyce

The concept of judicial compliance has attracted plenty of attention in the last two decades. Yet, despite the growing scholarly interest, important research questions remain largely unresolved. This is partly due to the persistent use of unsystematic research, built on the cherry picking of cases. The content of only a few well-known judgments has been thoroughly examined, and the rest remains largely ignored by the legal scholarship. The aim of this article is to introduce a sketch of a new three-level approach for improving research on judicial compliance in a multi-level arena. We show how the use of automated text analysis in combination with more traditional legal methods might shed more light on the concept of judicial compliance and judicial dialogues. We explain the procedure of the automated collection of data and their coding and also point out the risks of using automated text analysis when studying judicial compliance. The approach is demonstrated on a single case study of the use of European Court of Human Rights rulings by Czech apex courts. This study assesses how often and in what way the domestic courts engage with the European Court of Human Rights case law.

Název v anglickém jazyce

Searching for a reference : using automated text analysis to study judicial compliance

Popis výsledku anglicky

The concept of judicial compliance has attracted plenty of attention in the last two decades. Yet, despite the growing scholarly interest, important research questions remain largely unresolved. This is partly due to the persistent use of unsystematic research, built on the cherry picking of cases. The content of only a few well-known judgments has been thoroughly examined, and the rest remains largely ignored by the legal scholarship. The aim of this article is to introduce a sketch of a new three-level approach for improving research on judicial compliance in a multi-level arena. We show how the use of automated text analysis in combination with more traditional legal methods might shed more light on the concept of judicial compliance and judicial dialogues. We explain the procedure of the automated collection of data and their coding and also point out the risks of using automated text analysis when studying judicial compliance. The approach is demonstrated on a single case study of the use of European Court of Human Rights rulings by Czech apex courts. This study assesses how often and in what way the domestic courts engage with the European Court of Human Rights case law.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

<a href="/cs/project/GA16-09415S" target="_blank" >GA16-09415S: Beyond Compliance - Implementace rozhodnutí mezinárodních lidskoprávních těles na národní úrovni</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Masaryk University Journal of Law and Technology

ISSN

1802-5943

e-ISSN

1802-5951

Svazek periodika

12

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

30

Strana od-do

131-160

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85055248115