In their Introduction (Rules as Data), Damonte and Bazzan explain in their abstract:
Rules lie at the core of many disciplines beneath regulatory studies. Such a broad interest inevitably comes with fragmented understandings and technical choices that hinder knowledge cumulation and learning. This introduction tackles these limitations through an encompassing analytical blueprint from measurement theory. First, it addresses ambiguities to establish formal rules as a distinct research object. Then, it builds on legal, institutional analytic, and computational linguistic frameworks to pinpoint their constituting elements. Last, it revises strategies for assigning meaningful numbers to objects and outlines how the contributions to this Special Issue foster different aspects of the blueprint.
Most interestingly, they use a form of the semiotic triad (object, sign/signifier, interpretant) in the form of label concept-meaning intention-actuality extension (Rules as Data p. 658).
Articles
Open Access
Concepts and measures of bureaucratic constraints in European Union laws from hand-coding to machine-learning
- First Published: 28 June 2023
Open Access
Extracting and classifying exceptional COVID-19 measures from multilingual legal texts: The merits and limitations of automated approaches
- First Published: 02 October 2023
Open Access
Rules as policy data? Measuring and linking policy substance and legislative context
- First Published: 10 May 2023
Open Access
The European administrative space over time: Mapping the formal independence of EU agencies
- First Published: 06 October 2023
Open Access
Conceptualization and measurement of regulatory discretion: Text analysis of 120 years of British legislation
- First Published: 09 March 2023
Open Access
Conceptualizing and measuring “punitiveness” in contemporary advanced democracies
- First Published: 11 July 2023
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