1,720,979 research outputs found
Folchetto e l'eccellenza d'amore (Paradiso IX, 97-102)
No full textL’articolo si concentra sui tre paragoni mitologici che compaiono nell’autopresentazione di Folchetto di Marsiglia nel nono canto del Paradiso. L’analisi vuole mettere in luce soprattutto la strategia dantesca di allusione alle Heroides di Ovidio, da cui gli exempla sono tratti, inquadrate storicamente all’interno della pratica scolastica medievale della moralizzazione. Le figure di Didone, Fillide ed Ercole sono studiate nel dettaglio in considerazione della loro appartenenza all’opera ovidiana, così da mostrare le ragioni morali sottese alla scelta poetica di Dante. In particolare, si cerca di chiarire l’identità di «Iole» (v. 102), proponendone una parziale identificazione con la figura di Onfale alla luce della confusione sul nome della donna presente in alcuni commenti antichi e in generale nella cultura medievale
«mirando il punto | a cui tutti li tempi son presenti» : una lettura del «Paradiso» di Giudici
Full text linkIn 1990 Federico Tiezzi commissioned Giovanni Giudici to rewrite Dante’s Paradiso for his stage adaption of the entire Commedia, which was concluded the following year. This article aims to analyse Giudici’s drama from an intertextual perspective, by highlighting the way the poet used a great variety of literary and philosophical works as the basis for his personal interpretation of Dante’s third cantica. More specifically, it explores the relationship between Giudici’s rewriting and Walter Benjamin’s philosophical account of history and language as well as Augustin’s Confessions and other significant works and authors (like Paul of Tarsus, Franz Kafka, T.S. Eliot and Giacomo Noventa), who are quoted in the poet’s private notebooks but also in the text itself. Lastly, by considering Giudici’s poetic production and essays, the essay provides an interpretation of the text which takes into account the author’s poetic theor
Autoritratto come partigiano : Primo Levi tra Resistenza e deportazione
Full text linkIl saggio propone una riconsiderazione di alcuni aspetti dell’attività testimoniale di Primo Levi tra la metà degli anni Quaranta e la metà degli anni Sessanta a partire da una nuova interpretazione dell’incipit della seconda edizione di Se questo è un uomo (1958), sensibilmente diverso rispetto a quello originario (1947). Nella prima parte si dà conto della condizione dei deportati e degli ebrei all’interno del contesto storico e editoriale del secondo dopoguerra, dominato dal paradigma antifascista e resistenziale: il nuovo incipit di Se questo è un uomo, dunque, è letto come una rivendicazione da parte di Levi della propria identità ebraica, attuata mediante specifiche soluzioni stilistiche. Nella seconda parte, invece, si analizzano altri passi dell’opera dalla stessa prospettiva storica, mettendo in luce le peculiarità del libro di Levi rispetto alle altre testimonianze belliche. Infine, attraverso l’analisi di alcune pagine leviane degli anni Sessanta si mostrano i cambiamenti, rispetto agli esordi, nel rapporto dell’autore con la narrazione pubblica sulla Resistenza e la deportazione
Iacopo Sannazaro lettore della "Vita nova" : ancora sul modello dantesco nell'"Arcadia" (con appunti su Boccaccio)
No full textL'ultimo Giudici (1986-1999). Atti delle giornate di studio a cent'anni dalla nascita (Pisa, Scuola Normale Superiore, 4-5 ottobre 2024)
No full textDiscrimination discovery in scientific project evaluation: A case study
No full textDiscovering contexts of unfair decisions in a dataset of historical decision records is a non-trivial problem. It requires the design of ad hoc methods and techniques of analysis, which have to comply with existing laws and with legal argumentations. While some data mining techniques have been adapted to the purpose, the state-of-the-art of research still needs both methodological refinements, the consolidation of a Knowledge Discovery in Databases (KDD) process, and, most of all, experimentation with real data. This paper contributes by presenting a case study on gender discrimination in a dataset of scientific research proposals, and by distilling from the case study a general discrimination discovery process. Gender bias in scientific research is a challenging problem, that has been tackled in the social sciences literature by means of statistical regression. However, this approach is limited to test an hypothesis of discrimination over the whole dataset under analysis. Our methodology couples data mining, for unveiling previously unknown contexts of possible discrimination, with statistical regression, for testing the significance of such contexts, thus obtaining the best of the two worlds
A case study in Sequential Pattern Mining for IT-Operational Risk
No full textIT-operational risk management consists of identifying, assessing, monitoring and mitigating the adverse risks of loss resulting from hardware and software system failures. We present a case study in IT-operational risk measurement in the context of a network of Private Branch eXchanges (PBXs). The approach relies on preprocessing and data mining tasks for the extraction of sequential patterns and their exploitation in the definition of a measure called expected risk
A multidisciplinary survey on discrimination analysis
No full textThe collection and analysis of observational and experimental data represent the main tools for
assessing the presence, the extent, the nature, and the trend of discrimination phenomena. Data
analysis techniques have been proposed in the last 50 years in the economic, legal, statistical, and,
recently, in the data mining literature. This is not surprising, since discrimination analysis is a
multidisciplinary problem, involving sociological causes, legal argumentations, economic models,
statistical techniques, and computational issues. The objective of this survey is to provide a
guidance and a glue for researchers and anti-discrimination data analysts on concepts, problems,
application areas, datasets, methods, and approaches from a multidisciplinary perspective. We
organize the approaches according to their method of data collection as observational, quasiexperimental, and experimental studies. A fourth line of recently blooming research on knowledge
discovery based methods is also covered. Observational methods are further categorized on the
basis of their application context: labor economics, social profiling, consumer markets, and others
Preprocessing and mining web log data for web personalization
No full textWe describe the web usage mining activities of an on-going project, called ClickWorld, that aims at extracting models of the navigational behaviour of a web site users. The models are inferred from the access logs of a web server by means of data and web mining techniques. The extracted knowledge is deployed to the purpose of offering a personalized and proactive view of the web services to users. We first describe the preprocessing steps on access logs necessary to clean, select and prepare data for knowledge extraction. Then we show two sets of experiments: the first one tries to predict the sex of a user based on the visited web pages, and the second one tries to predict whether a user might be interested in visiting a section of the site
Survey on using constraints in data mining
No full textThis paper provides an overview of the current state-of-the-art on using constraints in knowledge discovery and data mining. The use of constraints in a data mining task requires specific definition and satisfaction tools during knowledge extraction. This survey proposes three groups of studies based on classification, clustering and pattern mining, whether the constraints are on the data, the models or the measures, respectively. We consider the distinctions between hard and soft constraint satisfaction, and between the knowledge extraction phases where constraints are considered. In addition to discussing how constraints can be used in data mining, we show how constraint-based languages can be used throughout the data mining process
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