Detecting social patterns within 20th century documentary photos: a deep learning based approach

The job of a historian is to understand what happened in the past, resorting in many cases to written documents as a firsthand source of information. Text, however, does not amount to the only source of knowledge. Pictorial representations, in fact, have also accompanied the main events of the historical timeline. In particular, the opportunity of visually representing circumstances has bloomed since the invention of photography, with the possibility of capturing in real-time the occurrence of a specific events. Thanks to the widespread use of digital technologies (e.g. smartphones and digital cameras), networking capabilities and consequent availability of multimedia content, the academic and industrial research communities have developed artificial intelligence (AI) paradigms with the aim of inferring, transferring and creating new layers of information from images, videos, etc. Now, while AI communities are devoting much of their attention to analyze digital images, from an historical research standpoint more interesting results may be obtained analyzing analog images representing the pre-digital era. Within the aforementioned scenario, the aim of this work is to analyze a collection of analog documentary photographs, building upon state-of-the-art deep learning techniques. In particular, the analysis carried out in this thesis aims at producing two following results: (a) produce the date of an image, and, (b) recognizing its background socio-cultural context,as defined by a group of historical-sociological researchers. Given these premises, the contribution of this work amounts to: (i) the introduction of an historical dataset including images of “Family Album” among all the twentieth century, (ii) the introduction of a new classification task regarding the identification of the socio-cultural context of an image, (iii) the exploitation of different deep learning architectures to perform the image dating and the image socio-cultural context classification.

Species identification of archived fish bones collected from the Mediterranean Sea 100 years ago using molecular techniques

With the discovery that DNA can be successfully recovered from museum collections, a new source of genetic information has been provided to extend our comprehension of the evolutionary history of species. However, historical specimens are often mislabeled or report incorrect information of origin, thus accurate identification of specimens is essential. Due to the highly damaged nature of ancient DNA many pitfalls exist and particular precautions need to be considered in order to perform genetic analysis. In this study we analyze 208 historical remains of pelagic fishes collected in the beginning of the 20th century. Through the adaptation of existing protocols, usually applied to human remains, we manage to successfully retrieve valuable genetic material from almost all of the examined samples using a guanidine and silica column-based approach. The combined use of two mitochondrial markers cytochrome-oxidase-1(mtDNA COI) and Control Region (mtDNA CR), and the nuclear marker first internal transcriber space (ITS1) allowed us to identify the majority of the examined specimens using traditional PCR and Sanger sequencing techniques. The creation of primers capable of amplifying heavily degraded DNA have great potential for future uses, both in ancient and in modern investigation. The methodologies developed in this study can in fact be applied for other ancient fish specimens as well as cooked or canned samples.

No(i)rthern Ireland: Crime fiction and the northern-irish scene. Proposed translation into italian of two short stories from "belfast noir"

The present thesis aims at proving the importance of cultural and literary contexts in the practice of translation: I shall show that, in the case of Northern Irish crime fiction, knowledge of both Northern Irish history and culture as well as of the genre of crime fiction are essential prerequisites for the production of a “responsible” translation. I will therefore offer a brief overview of the history of crime and detective fiction and its main subgenres; some of the most important authors and works will be presented as well, in an analysis that goes from the early years of the genre to the second half of the 20th century. I will then move the focus to Northern Ireland, its culture and its history, and particular attention will be paid to fiction writing in Ireland and Northern Ireland, with a focus on the peculiar phenomenon of “Troubles Trash”. I will tackle the topic of Northern Irish literature and present the contemporary scene of Northern Irish crime fiction; the volume from which the texts for the translation have been taken will be presented, namely Belfast Noir. Subsequently the focus will move on the theoretical framework within which the translations were produced: I will present a literary review of the most significative developments in Translation Studies, with particular attention to the “cultural turn” that has characterised this subject since the 1960s. I will then highlight the phenomenon of “realia” in translation and analyse the approaches of different scholars to the translation of culture-bound references. The final part represents the culmination and practical application of all that was presented in the previous sections: I will discuss the translation of culture-bound references according to the strategies presented in Chapter 4, referring to the proposed translations of two stories. Such analysis aims to show that not only expert linguistic knowledge, but also cultural awareness and a wide literary background are needed in order to make conscious choices in translation.