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The author reconstructs, through a path stretched between history and memory, the importance of the European and international dimension in Trentin's political and trade union action, from the experience of the FSM to the European Trade Union Confederation (ETUC). It is an excursus that unravels through the encounter with the French Christian trade unionism of the 1960s and the experience of the Councils union in the second Red Two Years, the united unions in the 1980s, up to the Maastricht Europe of the 1990s, passing through the important divide in 1989.

Social sciences.

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Cain resumes the biblical story of the genesiacs brothers to recount it in a heterodox way. Based on the canonical biblical texts, the ethical perspective of David Maria Sassoli and in ideological discourses, José Saramago (re)reads the life of the murderous brother by a desacralizing bias, establishing a process of discursive reorganization of the Bible and, consequently, of Christianity - an ideology rooted in the social thought that the writer Portuguese intends to resolve. Our proposal is to probe such ethical assumptions questioned by the novel. Thus, we will focus on the figure of the protagonist to reflect on postures, symbolic representations, narrative functions and ideological expressiveness. Let us, through our reading, decommthe kaleidoscopic clash that the skilled narrator stages to present an ethical proposal in dialogue with renewing ideals of today's society.

Social sciences --- Social sciences --- Methodology. --- Philosophy.

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This work evaluates the forecasting performances of different models using data on Italian unemployment and employment rates over the years 2004-2022 at the monthly frequency. The logic of this work is inspired by the series of M-Competitions, i.e. the tradition of competitions organized to test the forecasting performances of classical and innovative models. Given N competing models, only one winner is selected. The types of forecasting models range from the Exponential Smoothing family to ARIMA-like models, to their hybridization, to machine learning and neural network engines. Model combinations through various ensemble techniques are also considered. Once the observational period is split between the training and test set, the estimated forecasting models are ranked in terms of fitting on the training set and in terms of their forecast accuracy on the test set. Results confirm that it does not exist yet a single superior universal model. On the contrary, the ranking of different forecasting models is specific to the adopted training set. Secondly, results confirm that performances of machine learning and neural network models offer satisfactory alternatives and complementarities to the traditional models like ARIMA and Exponential Smoothing. Finally, the results stress the importance of model ensemble techniques as a solution to model uncertainty as well as a tool to improve forecast accuracy. The flexibility provided by a rich set of different forecasting models, and the possibility of combining them, together represent an advantage for decision-makers often constrained to adopt solely pure, not-combined, forecasting models. Overall, this work can represent a first step toward the construction of a semi-automatic forecasting algorithm, which has become an essential tool for both trained and untrained eyes in an era of data-driven decision-making.

Social sciences --- Social sciences --- Methodology. --- Philosophy.

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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.

Social sciences --- Social sciences --- Methodology. --- Philosophy.

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In this paper we highlight the sensorial and cultural correlates of the consumption of Trebbiano wine produced in the Abruzzo region, Italy. The data have been collected through a questionnaire survey on a sample of 48 adults. The sample was conveniently selected among the participants at a scientific meeting held in Pescara in September 2018. The survey was part of a complex sensorial experiment concerning the preference of this white wine with respect to a series of other regional white wines. The collected data on Trebbiano wine consumption have been analysed through a path analytic regression model in which consumption was the criterion variable, while cultural and sensorial variables, on the one hand, and wine expertise and drinking habits, on the other, were the variables mediating the respondents' disposition towards this type of wine. The analysis showed that two thirds of the respondents frequently or occasionally used to consume the topical wine. The frequency of consumption was strictly influenced by the relevance the respondents conferred to this wine when put in competition with other wines during an outdoor dinner. The consumers who particularly appreciated it were wine experts (sommeliers, wine course attendants, wine producers) and other wine consumers able to recognise the intrinsic characteristics of a wine thanks to the sensorial skills (for smell and aroma evaluation) they developed through long experience and specific learning.

Social sciences --- Social sciences --- Methodology. --- Simulation methods.