La social network analysis e la ricerca mixed methods
In: Sociologica cum laude
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In: Sociologica cum laude
In: Qualitative report: an online journal dedicated to qualitative research and critical inquiry
ISSN: 1052-0147
In the last few years, economic and social changes have made the path from university to work long and twisted, in particular in Southern Italy, an area with the highest rate of unemployment. This contribution aims to exploring the experiences of university-work transition of undergraduates. Using an open-ended interview, the authors obtained narrative data from 150 undergraduates from Southern Italy. Textual Analysis and Text Network Analysis were carried out to identify the thematic clusters and obtain the network pattern of lemmas in order to understand process of meaning construction of students. The analysis shows four clusters: "Awareness of one's own image in the past," "Change perception," "Experimentation and planning of objectives," "Prospects towards work." In the uncertainty of contemporary society where each individual is called upon to build one's own working career, university may represent for students a protective factor allowing them to define and re-define themselves in view of the acquisition of future roles and the preparation for the world of work.
In: Sociologia del lavoro, Heft 148, S. 91-112
In: Futures, Band 140, S. 102966
In: PARTECIPAZIONE E CONFLITTO; Vol. 11, No. 2 (2018). Special Issue: From Big Data in Politics to the Politics of Big Data; 448-471
One way to study the politics of big data is the inspection of their assemblages. By opening up the "black boxes" of data assemblages, it is possible to reconstruct the choices, compromises, conflicts and agree-ments that contributed to the construction of a given datum. Leaning on in-depth interviews and focus groups with experts and specialists who work within three European data centers, we unveil the interde-pendence between social and technical aspects and between a series of internal and external actors, which all contribute to the data assemblage. Results show that communities of experts, technologies, stakeholders and end-users are entwined components that interact amongst them in a contingent and complex web of negotiations and constraints and frame what is possible, desirable and expected by data.
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