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  • Animals  (21,529)
  • Analytical Chemistry and Spectroscopy
  • Deutschland
  • thema EDItEUR::J Society and Social Sciences
  • American Association for the Advancement of Science (AAAS)  (21,529)
  • UCL Press  (15)
  • Firenze University Press, Genova University Press  (13)
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  • 1
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    Firenze University Press, Genova University Press | ASA 2022 Data-Driven Decision Making
    Publication Date: 2024-03-28
    Description: Covid-19 emergency has produced within societies a strong impulse toward digitization policies, designed to mitigate the negative effects produced on national economies and to ensure a recovery of it. Among the objectives included by the Italian Government within the National Recovery and Resilience Plan (NRRP) there is a boosting of investments in the 4.0 Transition with measures involving not only a strengthening of the digital infrastructure but also a greater diffusion of digital literacy among the population. Therefore, starting from the intervention forecasts contained within Mission 1, paragraph 2 "Digitization, innovation and competitiveness in the production system," four elementary indicators were selected from the I.Stat database in compliance with the requirements of data available from both a spatial and temporal standpoint. As a matter of fact, the study aims to trace and compare the performance obtained by the main Italian macro-areas from the point of view of digitization of the production system, considering the years preceding and concomitant to the COVID-19 pandemic. Due to the intrinsic complexity of the digitization phenomenon, the development of statistic measures to study it can be directed toward the construction of synthetic indices. Throughout the present study, a synthesis methodology has been adopted that takes advantage of a non-aggregative approach: the Partially ordered set (POSET). The study is divided into sections, in which the main opportunities related to the construction of an index that evaluates the performance of the policies presented in the RRP will be outlined, as well as the characteristics and implications attributable to the use of a non-aggregative approach such as the POSET in its declination for the temporal study of socio-economic phenomena, and lastly, a presentation will be made of the results obtained from the application of the index to the Italian context.
    Keywords: Digitalization ; Partially ordered set ; Synthetic index ; Industry 4.0 ; National Recovery and Resilience Plan ; thema EDItEUR::J Society and Social Sciences
    Language: English
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  • 2
    Publication Date: 2024-03-28
    Description: In recent years, hatred directed against women has spread exponentially, especially in online social media. Although this alarming phenomenon has given rise to many studies both from the viewpoint of computational linguistics and from that of machine learning, less effort has been devoted to analysing whether models for the detection of misogyny are affected by bias. An emerging topic that challenges traditional approaches for the creation of corpora is the presence of social bias in natural language processing (NLP). Many NLP tasks are subjective, in the sense that a variety of valid beliefs exist about what the correct data labels should be; some tasks, for example misogyny detection, are highly subjective, as different people have very different views about what should or should not be labelled as misogynous. An increasing number of scholars have proposed strategies for assessing the subjectivity of annotators, in order to reduce bias both in computational resources and in NLP models. In this work, we present two corpora: a corpus of messages posted on Twitter after the liberation of Silvia Romano on the 9th of May, 2020 and corpus of comments constructed starting from posts on Facebook that contained misogyny, developed through an experimental annotation task, to explore annotators’ subjectivity. For a given comment, the annotation procedure consists in selecting one or more chunk from each text that is regarded as misogynistic and establishing whether a gender stereotype is present. Each comment is annotated by at least three annotators in order to better analyse their subjectivity. The annotation process was carried by trainees who are engaged in an internship program. We propose a qualitative-quantitative analysis of the resulting corpus, which may include non-harmonised annotations.
    Keywords: subjectivity ; misogyny ; disagreement ; social bias ; thema EDItEUR::J Society and Social Sciences
    Language: English
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  • 3
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    Firenze University Press, Genova University Press | ASA 2022 Data-Driven Decision Making
    Publication Date: 2024-03-28
    Description: The Trusted Smart statistics is an expression introduced by Eurostat to indicate the mature phase of the production of statistics based on Big Data and the transition from statistics based on traditional data sources to statistics created with new data sources. In this paper we will discuss: the impact of digital transformation in National Statistical Institutes (NSIs) and in their production of official statistics, how NSIs have adapted new research paradigms, how digital transformation has prompted National Statistical Institutes to adapt their production processes by exploiting new data sources, with the aim of improving statistical information also in terms of eg. of timeliness and granularity and strengthening their role in the ecosystem of scientific knowledge. This transformation process involves the entire organization in order to guarantee the same levels of relevance, quality and trust as traditional statistics. Istat, thanks to new data sources, increasingly performing technologies and specific skills, has positively seized the opportunities offered by the general context and has recently established a Trusted Smart Statistics Center (TSS Center) to have a governing body that systematically guides organizational adaptation at a technological, methodological, ethical, legal, communication and human resource level. The objective of the TSS Center is to capitalize the investments that Istat has made in European (e.g. ESSNet) and international (e.g. UNECE HLG-MOS) research projects, transferring the lessons learned and the know-how acquired in the statistics of new processes productive. At an organizational level, the TSS Center has the task of designing a sustainable organizational structure that helps and supports the individual company components to work in a systemic, coherent and synergistic way to create the new Trusted Smart Statistics production system.
    Keywords: new data sources ; Trusted smart statistics ; knowledge ecosystem ; official statistics ; thema EDItEUR::J Society and Social Sciences
    Language: English
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  • 4
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    UCL Press
    Publication Date: 2024-03-28
    Description: Drawing on 15 months of ethnographic research in one of the most under-developed regions in the Caribbean island of Trinidad, this book describes the uses and consequences of social media for its residents. Jolynna Sinanan argues that this semi-urban town is a place in-between: somewhere city dwellers look down on and villagers look up to. The complex identity of the town is expressed through uses of social media, with significant results for understanding social media more generally. Not elevating oneself above others is one of the core values of the town, and social media becomes a tool for social visibility; that is, the process of how social norms come to be and how they are negotiated. Carnival logic and high-impact visuality is pervasive in uses of social media, even if Carnival is not embraced by all Trinidadians in the town and results in presenting oneself and association with different groups in varying ways. The study also has surprising results in how residents are explicitly non-activist and align themselves with everyday values of maintaining good relationships in a small town, rather than espousing more worldly or cosmopolitan values.
    Keywords: caribbean ; carnival ; carnival logic ; anthropology ; El Mirador ; Facebook ; Instagram ; Social media ; Trinidad ; Trinidad and Tobago ; thema EDItEUR::J Society and Social Sciences ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCC Cultural studies ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology
    Language: English
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  • 5
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    Firenze University Press, Genova University Press | ASA 2022 Data-Driven Decision Making
    Publication Date: 2024-03-28
    Description: Educational achievement can be considered a multifaceted issue, which comprises different domains of learning. In Italy, on one hand the INVALSI tests administered to students through the schooling years aim to measure the ability of students in numeracy, literacy and English reading and listening competencies, separately. On the other hand, the high school final mark may be considered an overall performance outcome, formed by the combination of several marks in different subjects. Finally, at university academic achievement may be represented by the number of credits earned during the first year of enrolment, usually considered a good predictor of successful academic performances. The aim of the present work is to understand if the INVALSI scores, the high school final mark and the number of credits earned in the first academic year are associated. More specifically, our objective is twofold: first, we intend to verify if and how the INVALSI scores are associated with students’ high school final mark; second, we aim to check if the INVALSI scores and / or the high school final mark are predictive of students’ career in terms of credits earned in the first year. We will interpret our results concentrating our attention on eventual differences depending on type of school, university, field of study, student’s geographical area of residence. We use the MOBYSU.it database, selecting nearly 200.000 students who obtained their high school diploma in Italy in 2019 and enrolled in an Italian university in academic year 2019/2020. For the first objective, we estimate a multilevel ordered logit models, with students nested within high schools; as for the second objective, we estimate a cross-classified multilevel models, with students nested within high schools and athenaeums. We interpret our results in the light of assessing eventual divergences in students’ performances during the transition from high school to university.
    Keywords: University students ; academic performance ; educational achievement ; multilevel models ; thema EDItEUR::J Society and Social Sciences
    Language: English
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  • 6
    Publication Date: 2024-03-28
    Description: VET (Vocational Education and Training) Reforms and Labour Market reforms have started a process aimed at filling the gap between demand and supply of competences. The demand of competences, in fact, is affected by factors requiring the constant adjustment of production and training processes as well as the greater connection between education/training system and enterprises. Digital training, included in National Programmes of ERASMUS+, is essential in order to ensure effective training practices for the current VET system which is undergoing organizational and methodological change. In this context, Digital Teaching in VET System is an innovative approach to support the objectives set out in national and European strategies for applying ICT to VET systems through teachers/trainers training. The use of Augmented Reality, Virtual Reality and Mixed Reality technologies is an important strategy to innovate teaching and improve attention of students during the training session. iDid, application for immersive teaching, represent the deliverable of the project that allows VET teachers and trainers to produce contents of lessons using the potentialities of AR/VR/MR streams, and to share contents in a community oriented approach to transfer know-how and also obtain important user feedbacks.
    Keywords: Vet system ; Vet trainer ; AR/VR/MR teaching ; ERASMUS+ ; Digital.VET ; thema EDItEUR::J Society and Social Sciences
    Language: English
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  • 7
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    Firenze University Press, Genova University Press | ASA 2022 Data-Driven Decision Making
    Publication Date: 2024-03-28
    Description: During the Covid-19 pandemic, remote working (RW) has been a way to producing despite limiting contacts. In Italy, about a half of the workers experienced, at least for a part of their working time, RW during the years 2020 and 2021. In this paper we analyse the data collected through a web-based survey conducted in the second half of 2021 at a convenience sample of Italian adults. The survey was aimed at highlighting how Italians experienced the pandemic and how they perceived their future. Also, we measured the frequency and the intensity of the RW phenomenon, the feelings of those who practiced and the opinion of workers about the possibility to practice it in the future. The data show that so many adults practiced RW during the pandemic. Their judgement of the experience is largely positive: 60.8% stated they were inclined to pursue it again as a normal work strategy. Though, there are distinctions. The type of job and the recent experience entail people’s commitment towards RW. Even what people expect from work may influence their disposition to take in RW as normal. The convolution of wells of the RW disposition, scouted through a multivariate statistical analysis, showed that, on top of the well-known suitability of RW to certain job types (white-collar, gig activities, self-employed), the workers’ propensity to RW is higher if commuting cost saving, own time optimisation and not-too-open schedules, work-family balance and a free time surplus, the possibility of interaction and socialisation with other company’s employees and customers and a secure web connection characterise their jobs.
    Keywords: Remote working ; Covid-19 pandemic ; Psychological disposition ; Work-family balance ; Employee socialisation ; Job schedule ; thema EDItEUR::J Society and Social Sciences
    Language: English
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  • 8
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    UCL Press
    Publication Date: 2024-03-28
    Description: Daniel Miller spent 18 months undertaking an ethnographic study with the residents of an English village, tracking their use of the different social media platforms. Following his study, he argues that a focus on platforms such as Facebook, Twitter and Instagram does little to explain what we post on social media. Instead, the key to understanding how people in an English village use social media is to appreciate just how ‘English’ their usage has become. He introduces the ‘Goldilocks Strategy’: how villagers use social media to calibrate precise levels of interaction ensuring that each relationship is neither too cold nor too hot, but ‘just right’.
    Keywords: culture ; social media ; society ; ethnography ; Facebook ; Instagram ; Twitter ; thema EDItEUR::J Society and Social Sciences ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology
    Language: English
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  • 9
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    Firenze University Press, Genova University Press | ASA 2022 Data-Driven Decision Making
    Publication Date: 2024-03-28
    Description: Cosmopolitics, an open-source dashboard designed by an Istat team to perform exploratory data analysis using Eurostat statistical open data on international trade, offers several tools for investigating globalization phenomena such as the dynamics of global value chains (GVC). The advantage of this widely spread economic organization is well known: companies obtain economic advantages by direct foreign investments or by production outsourcing, i.e. relocating some production phases to countries where high specialization or an advantageous labor market create greater opportunities. However, by its very nature, the GVC is highly sensitive to shock transmissions and supply chain disruptions associated with geopolitical events or epidemiological crises. The dashboard will be released as Istat experimental statistical product and available online. Through a Social Network Graph Analysis approach, it will offer students, researchers and policy makers the opportunity to explore the dynamics of global trade for specific products traded by different modes of transport. The tool allows users not only retracing recent critical phases affecting global trade, but also interactively simulating bilateral trade flows interruptions or closures of specific logistic poles or transport routes. This gives the opportunity to outline possible scenarios in which the GVC trade relationships reshape under shock transmissions, such as conflicts, changes in bilateral relationships between countries, logistics or transport new arrangements, reallocation of foreign investments, etc. By computing standard Social Network indicators (such as graph density, indegree, outdegree, and closeness centrality), the tool provides many quantitative measures associated with the specific global trade structures displayed. This paper will illustrate the methodology implemented in the dashboard and will provide examples on how to explore GVC scenarios by Cosmopolitics.
    Keywords: Global Value Chain ; Social Network Analysis ; Trade Statistics ; Open-source dashboard ; thema EDItEUR::J Society and Social Sciences
    Language: English
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  • 10
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    UCL Press
    Publication Date: 2024-03-28
    Description: This book presents an ethnographic study of social media in Mardin, a medium-sized town located in the Kurdish region of Turkey. The town is inhabited mainly by Sunni Muslim Arabs and Kurds, and has been transformed in recent years by urbanisation, neoliberalism and political events. Elisabetta Costa uses her 15 months of ethnographic research to explain why public-facing social media is more conservative than offline life. Yet, at the same time, social media has opened up unprecedented possibilities for private communications between genders and in relationships among young people – Costa reveals new worlds of intimacy, love and romance. She also discovers that, when viewed from the perspective of people’s everyday lives, political participation on social media looks very different to how it is portrayed in studies of political postings separated from their original complex, and highly socialised, context.
    Keywords: turkey ; social media ; politics ; kinship ; Arabs ; Facebook ; Kurds ; Mardin ; WhatsApp ; thema EDItEUR::J Society and Social Sciences ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHM Anthropology::JHMC Social and cultural anthropology
    Language: English
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