Educazione alla cittadinanza per cittadini immigrati adulti. Il contributo della formazione linguistico-giuridica all'acquisizione di competenze di cittadinanza in lingua seconda

The research examines which cultural and linguistic instruments can be offered to provide adult migrants with formative access to citizenship competences. Starting from the questions: How can individuals of all community groups present in a nation-state acquire high standards of linguistic, sociolinguistic and discourse competences in order to be fully integrated, that is to participate and be included in social activities in the public domain such as work and institutional environments? How are these competencies developed in an educational context? How do adult migrants behave linguistically in this context, according to their needs and motivations? The research hypothesis aimed at outlining a formative project of citizenship education targeted at adult foreign citizens, where a central role is assigned both to law education and linguistic education. Acoordingly, as the study considered if the introduction of a law programme in a second language course could be conceived as an opportunity to further the access to active citizenship and social participation, a corpus of audiodata was collected in law classes of an Italian adult professional course attended by a 50% of foreign students. The observation was conducted on teacher and learner talk and learner participation in classroom interaction when curriculum legal topics were introduced and discussed. In the classroom law discourse two dimensions were analyzed: the legal knowledge construction and the participants’ interpersonal and identity construction. From the analysis, the understanding is that drawn that law classes seem to represent an educational setting where foreign citizens have an opportunity to learn and practise citizenship. The social and pragmatic approach to legal contents plays a relevant role, in a subject which, in non-academic contexts, loses its technical specificity and refers to law as a product of social representation. In the observed educational environment, where students are adults who bring into the classroom multiple personal and social identities, legal topics have the advantage of increasing adult migrants’ motivation to ‘go back to school’ as they are likely to give hints, if not provide solutions, to problems relating to participation in socio-institutional activities. At the same time, these contents offer an ideal context where individuals can acquire high discourse competences and citizenship skills, such as agency and critical reflection. Besides, the analysis reveals that providing adult learners with materials that focus on rights, politics and the law, i.e. with materials which stimulate discussion on concerns affecting their daily lives, is welcomed by learners themselves, who might appreciate the integration of these same topics in a second language course.

L'italiano di apprendenti lituani: elementi acquisizionali e implicazioni didattiche

La ricerca, che ha per oggetto lo studio dell’apprendimento guidato dell’italiano come lingua seconda da parte di apprendenti lituani, si articola in quattro capitoli. I primi due costituiscono il quadro teorico della ricerca, dedicando il primo ai fondamenti teorici e ricerche empiriche in generale e il secondo alle ricerche sull’apprendimento dell’italiano come L2. Nel terzo capitolo viene presentata la metodologia della ricerca, mentre nel quarto capitolo vengono presentati i risultati, concentrandosi in particolare sull’ortografia, sulla morfologia del nome, sulla categoria del verbo e sugli aspetti sintattici.In base ai risultati conseguiti, che in parte confermano i percorsi acquisizionali rilevati in contesto di apprendimento spontaneo, vengono all’ultimo suggerite alcune proposte applicative.

Insegnare l'italiano L2 per fini di studio: una proposta di letture graduate per gli studenti cinesi

Dati i problemi di comprensione linguistica riscontrati dagli studenti cinesi nel contesto accademico e la crescente necessità della didattica dell’italiano L2 per fini di studio, il presente lavoro ha come obiettivo finale la creazione di letture graduate, proposte come materiali didattici comprensibili e mirati agli studenti cinesi di italiano L2, in modo da agevolare il loro approccio ai testi impegnativi richiesti per gli studi artistico-professionali. In particolare, nei primi due capitoli si discute il ruolo significativo della distanza linguistica tra italiano e cinese nell’acquisizione della L2 da parte degli studenti cinesi e nello sviluppo della loro abilità di lettura in L2. In seguito, per capire come debba essere un input ideale per l’acquisizione linguistica a fini di studio, vengono esaminati vari approcci glottodidattici basati sull’input, e si osservano i tratti delle varietà di italiano presenti nel contesto accademico. Il lavoro procede poi con un’analisi delle specifiche caratteristiche linguistiche riscontrate in manuali universitari di storia dell’arte, utilizzando sia un approccio quantitativo che qualitativo, con l’obiettivo di avere un “panorama” delle complessità linguistiche che uno studente L2 deve affrontare nello studio. Successivamente, verrà presentata una sperimentazione di riscrittura con due gruppi, i quali sono stati sottoposti rispettivamente al testo originale e a quello riscritto secondo i criteri formulati dallo studio teorico sul confronto tipologico. I risultati ottenuti confermano sia le interferenze del cinese nella lettura in italiano, sia l’efficacia degli approcci linguistici individuati nel facilitare la comprensibilità del testo per gli studenti cinesi di livello A2-B1. Di conseguenze, viene proposto un percorso di letture graduate per gli studenti cinesi di belle arti; oltre a essere comprensibili, le letture mirano anche all’acquisizione delle varietà di italiano necessarie per lo studio accademico-professionale. L’ultima parte del lavoro è dedicata alle riflessioni teoriche e didattiche sviluppate nel corso della ricerca.

Assimilation of Meteosat Second Generation (MSG) satellite data in a regional numerical weather prediction model using a one-dimensional variational approach

The quality of temperature and humidity retrievals from the infrared SEVIRI sensors on the geostationary Meteosat Second Generation (MSG) satellites is assessed by means of a one dimensional variational algorithm. The study is performed with the aim of improving the spatial and temporal resolution of available observations to feed analysis systems designed for high resolution regional scale numerical weather prediction (NWP) models. The non-hydrostatic forecast model COSMO (COnsortium for Small scale MOdelling) in the ARPA-SIM operational configuration is used to provide background fields. Only clear sky observations over sea are processed. An optimised 1D–VAR set-up comprising of the two water vapour and the three window channels is selected. It maximises the reduction of errors in the model backgrounds while ensuring ease of operational implementation through accurate bias correction procedures and correct radiative transfer simulations. The 1D–VAR retrieval quality is firstly quantified in relative terms employing statistics to estimate the reduction in the background model errors. Additionally the absolute retrieval accuracy is assessed comparing the analysis with independent radiosonde and satellite observations. The inclusion of satellite data brings a substantial reduction in the warm and dry biases present in the forecast model. Moreover it is shown that the retrieval profiles generated by the 1D–VAR are well correlated with the radiosonde measurements. Subsequently the 1D–VAR technique is applied to two three–dimensional case–studies: a false alarm case–study occurred in Friuli–Venezia–Giulia on the 8th of July 2004 and a heavy precipitation case occurred in Emilia–Romagna region between 9th and 12th of April 2005. The impact of satellite data for these two events is evaluated in terms of increments in the integrated water vapour and saturation water vapour over the column, in the 2 meters temperature and specific humidity and in the surface temperature. To improve the 1D–VAR technique a method to calculate flow–dependent model error covariance matrices is also assessed. The approach employs members from an ensemble forecast system generated by perturbing physical parameterisation schemes inside the model. The improved set–up applied to the case of 8th of July 2004 shows a substantial neutral impact.

The language of action. How language translates the dynamics of our actions.

The general aim of the thesis was to investigate how and to what extent the characteristics of action organization are reflected in language, and how they influence language processing and understanding. Even though a huge amount of research has been devoted to the study of the motor effects of language, this issue is very debated in literature. Namely, the majority of the studies have focused on low-level motor effects such as effector-relatedness of action, whereas only a few studies have started to systematically investigate how specific aspects of action organization are encoded and reflected in language. After a review of previous studies on the relationship between language comprehension and action (chapter 1) and a critical discussion of some of them (chapter 2), the thesis is composed by three experimental chapters, each devoted to a specific aspect of action organization. Chapter 3 presents a study designed with the aim to disentangle the effective time course of the involvement of the motor system during language processing. Three kinematics experiments were designed in order to determine whether and, at which stage of motor planning and execution effector-related action verbs influence actions executed with either the same or a different effector. Results demonstrate that the goal of an action can be linguistically re-activated, producing a modulation of the motor response. In chapter 4, a second study investigates the interplay between the role of motor perspective (agent) and the organization of action in motor chains. More specifically, this kinematics study aims at deepening how goal can be translated in language, using as stimuli simple sentences composed by a pronoun (I, You, He/She) and a verb. Results showed that the perspective activated by the pronoun You reflects the motor pattern of the “agent” combined with the chain structure of the verb. These data confirm an early involvement of the motor system in language processing, suggesting that it is specifically modulated by the activation of the agent’s perspective. In chapter 5, the issue of perspective is specifically investigated, focusing on its role in language comprehension. In particular, this study aimed at determining how a specific perspective (induced for example by a personal pronoun) modulates motor behaviour during and after language processing. A classical compatibility effect (the Action-sentence compatibility effect) has been used to this aim. In three behavioural experiments the authors investigated how the ACE is modulated by taking first or third person perspective. Results from these experiments showed that the ACE effect occurs only when a first-person perspective is activated by the sentences used as stimuli. Overall, the data from this thesis contributed to disentangle several aspects of how action organization is translated in language, and then reactivated during language processing. This constitutes a new contribution to the field, adding lacking information on how specific aspects such as goal and perspective are linguistically described. In addition, these studies offer a new point of view to understand the functional implications of the involvement of the motor system during language comprehension, specifically from the point of view of our social interactions.

L'opera letteraria tra interpretazione e metafora: a partire da Nelson Goodman

Che rapporto intercorre tra un’opera letteraria e una sua interpretazione? Che cosa fa sì che la prima supporti la seconda? Come possiamo discernere un’interpretazione valida da una che non lo è ? Come può una stessa opera avere interpretazioni differenti e a volte incompatibili tra loro? Assumendo come punto di partenza la proposta di Nelson Goodman di qualificare l’opera letteraria come allografica e, quindi, di definire l’identità dell’opera sulla base della sua compitazione, cercare un risposta alle domande proposte implica un riflessione tanto sul linguaggio, quale strumento simbolico, quanto sulle modalità di riferimento proprie delle opere letterarie. In particolare, di fronte al dissolversi del mondo nella molteplicità delle versioni che il linguaggio può offrire di esso, una peculiare concezione della metafora, intesa come proiezione di un regno del linguaggio su un altro regno dello stesso, si qualifica come un buon modello per la comprensione del rapporto che lega opere letterarie e loro interpretazioni. In tal modo l’opera stessa non solo diviene significativa, ma, attraverso tale significazione, riesce anche a farsi produttiva, modificando, ampliando, ristrutturando la versione dal mondo dalla quale l’interprete-lettore prende le mosse. Ciascuna lettura di un’opera letteraria può infatti essere concepita come una via attraverso la quale ciò che nell’opera è detto viene proiettato sulla visione del mondo propria dell’interprete e di quanti possono condividerne il punto di vista. In tal modo le interpretazioni pongono le opere cui si riferiscono nelle condizioni di fornire un apporto significativo tanto alla comprensione quanto alla costituzione della nostra versione del mondo. E se ciò può avvenire in diversi modi, mutando le interpretazioni a seconda di chi le produce e delle circostanze in cui sorgono, l’opera evita la dissoluzione in virtù della compitazione che la identifica.

Supporting Scientific Research Through Machine and Deep Learning: Fluorescence Microscopy and Operational Intelligence Use Cases

Although the debate of what data science is has a long history and has not reached a complete consensus yet, Data Science can be summarized as the process of learning from data. Guided by the above vision, this thesis presents two independent data science projects developed in the scope of multidisciplinary applied research. The first part analyzes fluorescence microscopy images typically produced in life science experiments, where the objective is to count how many marked neuronal cells are present in each image. Aiming to automate the task for supporting research in the area, we propose a neural network architecture tuned specifically for this use case, cell ResUnet (c-ResUnet), and discuss the impact of alternative training strategies in overcoming particular challenges of our data. The approach provides good results in terms of both detection and counting, showing performance comparable to the interpretation of human operators. As a meaningful addition, we release the pre-trained model and the Fluorescent Neuronal Cells dataset collecting pixel-level annotations of where neuronal cells are located. In this way, we hope to help future research in the area and foster innovative methodologies for tackling similar problems. The second part deals with the problem of distributed data management in the context of LHC experiments, with a focus on supporting ATLAS operations concerning data transfer failures. In particular, we analyze error messages produced by failed transfers and propose a Machine Learning pipeline that leverages the word2vec language model and K-means clustering. This provides groups of similar errors that are presented to human operators as suggestions of potential issues to investigate. The approach is demonstrated on one full day of data, showing promising ability in understanding the message content and providing meaningful groupings, in line with previously reported incidents by human operators.

"Ancestry, gender and language - The role of culture in economic development"

This thesis is a combination of research questions in development economics and economics of culture, with an emphasis on the role of ancestry, gender and language policies in shaping inequality of opportunities and socio-economic outcomes across different segments of a society. The first chapter shows both theoretically and empirically that heterogeneity in risk attitudes can be traced to the ethnic origins and ancestral way of living. In particular, I construct a measure of historical nomadism at the ethnicity level and link it to contemporary individual-level data on various proxies of risk attitudes. I exploit exogenous variation in biodiversity to build a novel instrument for nomadism: distance to domestication points. I find that descendants of ethnic groups that historically practiced nomadism (i) are more willing to take risks, (ii) value security less, and (iii) have riskier health behavior. The second chapter evaluates the nature of a trade-off between the advantages of female labor participation and the positive effects of female education. This work exploits a triple difference identification strategy relying on exogenous spike in cotton price and spatial variation in suitability for cotton, and split sample analyses based on the exogenous allocation of land contracts. Results show that gender differences in parental investments in patriarchal societies can be reinforced by the type of agricultural activity, while positive economic shocks may further exacerbate this bias, additionally crowding out higher possibilities to invest in female education. The third chapter brings novel evidence of the role of the language policy in building national sentiments, affecting educational and occupational choices. Here I focus on the case of Uzbekistan and estimate the effects of exposure to the Latin alphabet on informational literacy, education and career choices. I show that alphabet change affects people's informational literacy and the formation of certain educational and labour market trends.