Memoria e short story postcoloniale femminile: Anita Desai e Alice Munro

In ogni capitolo, l’atto del ricordare viene indagato nelle diverse valenze che lo mettono in rapporto diretto con la nostalgia e l’oblio. L’analisi dei testi letterari copre un arco di tempo di quasi un secolo, partendo dalle innovazioni tecnico-stilistiche realizzate da Katherine Mansfield fino all’eccezionale ricchezza e al meritato successo di pubblico e critica della scrittrice canadese Alice Munro. La bibliografia dei testi primari e secondari è strutturata con criteri tematici e cronologici.

Dalle ambivalenze della Storia alla “cosmopolitical fiction”: la rappresentazione dell'alterità nel romanzo di Anita Desai

Varcare le frontiere della Storia attraverso le storie personali dei suoi personaggi ha sempre affascinato la sensibilità creatrice di Anita Desai, i cui romanzi possono essere considerati un interessante esempio di letteratura di confine, che riesce nel difficile compito di misurarsi, con eleganza e sensibilità, nella rappresentazione delle più feroci forme di marginalizzazione. Proponendo un dialogo tra alterità, che apre alle complessità storico-culturali in maniera del tutto a-ideologica e imparziale, la scrittrice indoinglese procede alla “provincializzazione” dell’India attraverso le numerose ambivalenze prodotte nelle zone frontaliere analizzate. Dalla rappresentazione della frontiera identitaria esterna, ovvero dall’ambivalente rapporto intrattenuto con il colonizzatore/ex-colonizzatore inglese, alla rappresentazione della frontiera identitaria interna, ovvero l’analisi delle contraddittorie relazioni tra le componenti etniche del subcontinente, Desai arriva infine a problematizzare storie di ambivalenti processi di marginalizzazione prodotti da mondi culturali così diversi come la Germania nazista, o gli indiani Huichol del lontano Messico, tracciando geografie culturali inedite della grande ragnatela della Storia. Desai riesce così a recuperare voci liminali spesso trascurate dalla postcolonialità stessa, per riconfigurarle in un’esplorazione profonda del comune destino dell’umanità, voci straniate e stranianti che acquisiscono un vero e proprio status di agency discorsiva, proiettando la sua scrittura verso una dimensione cosmopolitica. L’opera di Desai diventa indubbiamente un’opportunità concreta per scorgere nella differenza l’universalità di una comune umanità, vale a dire un’opportunità per vedere nell’alterità un’identità ribaltata.

A partial dependence factorial analysis to deal with selection bias in observational studis

This thesis presents a creative and practical approach to dealing with the problem of selection bias. Selection bias may be the most important vexing problem in program evaluation or in any line of research that attempts to assert causality. Some of the greatest minds in economics and statistics have scrutinized the problem of selection bias, with the resulting approaches – Rubin’s Potential Outcome Approach(Rosenbaum and Rubin,1983; Rubin, 1991,2001,2004) or Heckman’s Selection model (Heckman, 1979) – being widely accepted and used as the best fixes. These solutions to the bias that arises in particular from self selection are imperfect, and many researchers, when feasible, reserve their strongest causal inference for data from experimental rather than observational studies. The innovative aspect of this thesis is to propose a data transformation that allows measuring and testing in an automatic and multivariate way the presence of selection bias. The approach involves the construction of a multi-dimensional conditional space of the X matrix in which the bias associated with the treatment assignment has been eliminated. Specifically, we propose the use of a partial dependence analysis of the X-space as a tool for investigating the dependence relationship between a set of observable pre-treatment categorical covariates X and a treatment indicator variable T, in order to obtain a measure of bias according to their dependence structure. The measure of selection bias is then expressed in terms of inertia due to the dependence between X and T that has been eliminated. Given the measure of selection bias, we propose a multivariate test of imbalance in order to check if the detected bias is significant, by using the asymptotical distribution of inertia due to T (Estadella et al. 2005) , and by preserving the multivariate nature of data. Further, we propose the use of a clustering procedure as a tool to find groups of comparable units on which estimate local causal effects, and the use of the multivariate test of imbalance as a stopping rule in choosing the best cluster solution set. The method is non parametric, it does not call for modeling the data, based on some underlying theory or assumption about the selection process, but instead it calls for using the existing variability within the data and letting the data to speak. The idea of proposing this multivariate approach to measure selection bias and test balance comes from the consideration that in applied research all aspects of multivariate balance, not represented in the univariate variable- by-variable summaries, are ignored. The first part contains an introduction to evaluation methods as part of public and private decision process and a review of the literature of evaluation methods. The attention is focused on Rubin Potential Outcome Approach, matching methods, and briefly on Heckman’s Selection Model. The second part focuses on some resulting limitations of conventional methods, with particular attention to the problem of how testing in the correct way balancing. The third part contains the original contribution proposed , a simulation study that allows to check the performance of the method for a given dependence setting and an application to a real data set. Finally, we discuss, conclude and explain our future perspectives.

Paleosecular variation of the magnetic field recorded in Pleistocene-holocene volcanics from Pantelleria (italy) and Azores archipelago (portugal): implications for local volcanic history

The primary goal of volcanological studies is to reconstruct the eruptive history of active volcanoes, by correlating and dating volcanic deposits, in order to depict a future scenario and determine the volcanic hazard of an area. However, alternative methods are necessary where the lack of outcrops, the deposit variability and discontinuity make the correlation difficult, and suitable materials for an accurate dating lack. In this thesis, paleomagnetism (a branch of Geophysics studying the remanent magnetization preserved in rocks) is used as a correlating and dating tool. The correlation is based on the assumption that coeval rocks record similar paleomagnetic directions; the dating relies upon the comparison between paleomagnetic directions recorded by rocks with the expected values from references Paleo-Secular Variation curves (PSV, the variation of the geomagnetic field along time). I first used paleomagnetism to refine the knowledge of the pre – 50 ka geologic history of the Pantelleria island (Strait of Sicily, Italy), by correlating five ignimbrites and two breccias deposits emplaced during that period. Since the use of the paleomagnetic dating is limited by the availability of PSV curves for the studied area, I firstly recovered both paleomagnetic directions and intensities (using a modified Thellier method) from radiocarbon dated lava flows in São Miguel (Azores Islands, Portugal), reconstructing the first PSV reference curve for the Atlantic Ocean for the last 3 ka. Afterwards, I applied paleomagnetism to unravel the chronology and characteristics of Holocene volcanic activity at Faial (Azores) where geochronological age constraints lack. I correlated scoria cones and lava flows yielded by the same eruption on the Capelo Peninsula and dated eruptive events (by comparing paleomagnetic directions with PSV from France and United Kingdom), finding that the volcanics exposed at the Capelo Peninsula are younger than previously believed, and entirely comprised in the last 4 ka.