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  • thema EDItEUR::J Society and Social Sciences  (21)
  • Analytical Chemistry and Spectroscopy
  • Animals
  • Deutschland
  • Firenze University Press, Genova University Press  (13)
  • Springer Fachmedien Wiesbaden
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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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    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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  • 5
    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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  • 6
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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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  • 7
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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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  • 8
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    Springer Nature | Springer Fachmedien Wiesbaden
    Publication Date: 2024-03-29
    Description: In diesem Open-Access-Buch wird den Fragen nachgegangen, wie der Akteur Kommunales Bildungsmanagement kollektive Handlungsfähigkeit herstellt und welchen Beitrag diese Koordinationsarbeit zur gesellschaftlichen Integration leistet. Die Rekonstruktion von Arenen, die in einem komplexen Geflecht von Integrationsräumen zusammenwirken, basiert auf Interviewdaten der wissenschaftlichen Begleitforschung zum Programm Lernen vor Ort. Ausgehend von dem Verständnis eines Theorie-Methodenpakets zwischen der interaktionistischen Handlungstheorie und der Grounded-Theory-Methodologie werden zentrale Herausforderungen der Governance-Forschung mithilfe der Zeigestruktur der Erziehung zu einer prozessbezogenen pädagogischen Organisationsforschung zusammengeführt. Dies ist ein Open-Access-Buch.
    Keywords: Eduational Governance-Forschung ; Professionalisierung ; Multirationales Management ; Gesellschaftliche Integration ; Grounded-Theory-Methodologie ; Soziale Welten und Arenen ; bic Book Industry Communication::J Society & social sciences::JN Education ; bic Book Industry Communication::J Society & social sciences ; thema EDItEUR::J Society and Social Sciences::JN Education ; thema EDItEUR::J Society and Social Sciences
    Language: German
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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: Data from official sources on nights spent in an accommodation for tourists in Lombardy are available until 2021. These data on touristic flows for 2020 and 2021 registered a clear downfall because of restrictions related to Covid-19. The aim of this paper is to verify the presence of a full or partial recover of tourists in provinces of Lombardy using short-term predictions for 2022. A time-series procedure has been applied to obtain a forecast estimate for 2022 using an ARMA model with the addition of an exogenous variable. The hypothesis at the basis of the model is that a punctual estimate of the touristic flows could be obtained using an auxiliary variable explaining the number of employees in the food services and hospitality industry. This auxiliary variable is represented as the difference between the number of starting work contracts and the contract terminations. These data are available thanks to the Informative system of mandatory communications provided by the Italian Minister of Labour. The availability of this information is daily guaranteed at level of single municipality but for the purpose of this paper, data have been aggregated at province level. The short-term predictions obtained for 2022 have been used to verify the presence of a recovery respect to the pandemic emergency of Covid-19 using a double growth rate. A first growth rate has been computed comparing the number of estimated tourists respect to the 2021 measuring the existence of a rebound after the restrictions. A second growth rate measured the estimates for 2021 respect to the presences of 2019 to monitor the trends in Lombardy compared to the before Covid-19 period. Preliminary results showed an evident upswing respect to 2021 and a partial recovery respect to 2019 for the majority of Lombard provinces.
    Keywords: Time series ; Forecasts ; Tourism ; thema EDItEUR::J Society and Social Sciences
    Language: English
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  • 10
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    Firenze University Press, Genova University Press | ASA 2022 Data-Driven Decision Making
    Publication Date: 2024-03-28
    Description: The 2030 Agenda has been adopted to achieve a better and sustainable future for all. The process of approaching its 17 Sustainable Development Goals is monitored through a global system of 240 statistical indicators approved in March 2016 by the United Nations Statistical Commission. Sustainable Development Goal 5 seeks to achieve gender equality and empowerment all women and girls: it is broken down into 9 targets. According to these targets, indicators are being established for monitoring and evaluating progress on SDG in order to ensure high transparency and accountability within the 2030 Agenda. A gender equality plan will typically address several issues at once, leading to a complex set of measures. Nonetheless, effective monitoring and evaluation instruments are often lacking, which undermines the transformative potential of the planned measures. If objectives are not indexed on relevant progress, success or outreach indicators, it is difficult to assess whether the organisation is actually being transformed. Monitoring and evaluation are critical for building a strong, global evidence base around gender equality and for assessing the wide, diverse range of interventions being implemented to address it. Policy makers need support now if they are to use SDG evaluation as an opportunity to improve policies and programmes closer to home, applying tailored approaches. This paper deals with monitoring and evaluation of Goal 5 in Italy. In the context of the SDGs, evaluation relates to determining the merit, worth, significance and sustainability of strategies, policies and programmes that contribute to the achievement of the SDGs at national and territorial level. After analyzing the indicators available for the monitoring of the Goal 5, the benefits and limits that still exist for a full representation of gender equality will be explained.
    Keywords: Sustainable Development Goal ; gender equality ; composite indicator ; thema EDItEUR::J Society and Social Sciences
    Language: English
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