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Analisi lessico testuale delle ordinanze del Commissario Delegato alla ricostruzione in Emilia-Romagna: Un contributo alla legge nazionale su emergenza e ricostruzione

Altro Prodotto di Ricerca
Data di Pubblicazione:
2015
Citazione:
Pavone, P. e M., Russo. "Analisi lessico testuale delle ordinanze del Commissario Delegato alla ricostruzione in Emilia-Romagna: Un contributo alla legge nazionale su emergenza e ricostruzione" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università di Modena e Reggio Emilia, 2015. https://doi.org/10.25431/11380_1077770
Abstract:
In the three years after the 2012 earthquake in Emilia-Romagna, through the enactment of more than 350 ordinances, the Commissioner has structured interventions to cope with emergency and reconstruction. The intense law-making, essential to fill a legal vacuum, has enabled to overcome the uncertainties of the difficult phase of recovery. There is agreement among experts that a large number of those ordinances was due to the absence of national rules governing the urgent intervention in case of natural disasters. On the push of actions taken in Emilia-Romagna, the Italian Parliament has reopened the debate on a national law on emergency after natural disasters. Through a systematic content analysis of the corpus of ordinances issued in Emilia-Romagna, in this paper we propose a contribution in drafting a law on emergency. Two main strands of analysis have been developed. In the first one, an automatic text analysis, supported by Taltac2, has provided inputs for a factor analysis and a cluster analysis of the thematic areas covered by the ordinances. Four main topics have been singled out: grant criteria and contributions; management of allocation of resources; urgent works for municipalities, schools and churches buildings; interventions to support population. Having associated each ordinance to one of the four topics, a temporal analysis of the issues addressed during the emergency and reconstruction phase highlights the sequence of actions that were undertaken in Emilia. In a second step, the set of terms characterizing each cluster it is used to obtain a redefinition of disjunctive classification towards a fuzzy multi-class.
Tipologia CRIS:
Working paper
Keywords:
Automatic classification; Legislative corpus; Clustering and network analysis; Law Making; Data Collection, Data analysis, Computer software.
Elenco autori:
Pavone, P.; Russo, M.
Autori di Ateneo:
RUSSO Margherita
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1077770
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1077770/44151/Pavone%20e%20Russo_2015_DEMB%20WP%20Series%20N.%2072.pdf
Pubblicato in:
DEMB WORKING PAPER SERIES
Series
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