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Giulio Giacomo Cantone

Biographic Data

ID4261706
NAMEGiulio Giacomo Cantone
GIVEN NAMESGiulio Giacomo
FAMILY NAMECantone
SIGNATURECANTONE G G
AFFILIATIONSUniversity of Sussex
ORCID0000-0001-7149-5213
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS4
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Estimation of disciplinary similarity with large language models

    Open Access•Giulio Giacomo Cantone, Er-Te Zheng et al.•ARTICLE•Scientometrics•2025

    The parameter that captures the similarity among disciplinary categories is a key quantity of many measures of interdisciplinarity. This study evaluates the feasibility of using large language models to estimate this parameter rather than using traditional methods based on citational networks among disciplines. An experimental procedure tested the precision, agreement, resilience, robustness, and explainability of estimates from OpenAI’s ChatGPT,…

  • Reflections on the house-of-mirrors

    Giulio Giacomo Cantone•ARTICLE•International Journal of Social…•2025•References: 4

  • Distorted claims about distortions, a response to Reflections on the House of Mirrors

    Giulio Giacomo Cantone•ARTICLE•International Journal of Social…•2025

  • How to measure interdisciplinary research? A systemic design for the model of measurement

    Open Access•Giulio Giacomo Cantone•ARTICLE•Scientometrics•2024

    Interdisciplinarity is a polysemous concept with multiple, reasoned and intuitive, interpretations across scholars and policy-makers. Historically, quantifying the interdisciplinarity of research has been challenging due to the variety of methods used to identify metadata, taxonomies, and mathematical formulas. This has resulted in considerable uncertainty about the ability of quantitative models to provide clear insights for policy-making. This …

  • Theory and methods of the multiverse

    Open Access•Giulio Giacomo Cantone, Venera Tomaselli•ARTICLE•Quality & Quantity•2024

    Multiverse analysis involves systematically sampling a vast set of model specifications, known as a multiverse, to estimate the uncertainty surrounding the validity of a scientific claim. By fitting these specifications to a sample of observations, statistics are obtained as analytical results. Examining the variability of these statistics across different groups of model specifications helps to assess the robustness of the claim and gives insigh…

  • A Multiversal Model of Vibration of Effects of the Equitable and Sustainable Well-Being (BES) on Fertility

    Open Access•Giulio Giacomo Cantone, Venera Tomaselli•ARTICLE•Social Indicators Research•2024•Cited by: 1•References: 65

    This study checks the hypothesis that sustainable well-being is a determinant factor of fertility through the application of a multiversal method based on the assumptions of Vibration of Effects (VoE) model of multiversal sampling on the Italian Equitable and Sustainable Well-being (BES) dataset. For 48 social indicators of well-being, adopting the Province as statistical unit, the estimate of linear effect has been systematically sampled 1024 ti…

  • Methods, Developments, and Technological Innovations for Population Surveys

    Open Access•Venera Tomaselli, Sebastiano Battiato et al.•ARTICLE•Social Science Computer Review•2021•Cited by: 2•References: 16

    This article reviews contemporary issues in survey research, connecting established methods to innovative tools and technologies like real-time sensors and computer vision. This link takes into account the idea about the “organical” nature of Big Data, which represents a challenge toward a modernization of population studies in the light of technological innovations. The adopted dominant paradigm of data gathering is web survey (computer-assisted…

  • Evaluating Rank-Coherence of Crowd Rating in Customer Satisfaction

    Open Access•Venera Tomaselli, Giulio Giacomo Cantone•ARTICLE•Social Indicators Research•2020•Cited by: 1•References: 6

    Crowd rating is a continuous and public process of data gathering that allows the display of general quantitative opinions on a topic from online anonymous networks as they are crowds. Online platforms leveraged these technologies to improve predictive tasks in marketing. However, we argue for a different employment of crowd rating as a tool of public utility to support social contexts suffering to adverse selection, like tourism. This aim needs …

  • Methods, Developments, and Technological Innovations for Population Surveys

    Open Access•Venera Tomaselli, Sebastiano Battiato et al.•ARTICLE•Social Science Computer Review•2021•Cited by: 2•References: 16

    This article reviews contemporary issues in survey research, connecting established methods to innovative tools and technologies like real-time sensors and computer vision. This link takes into account the idea about the “organical” nature of Big Data, which represents a challenge toward a modernization of population studies in the light of technological innovations. The adopted dominant paradigm of data gathering is web survey (computer-assisted…

  • A Multiversal Model of Vibration of Effects of the Equitable and Sustainable Well-Being (BES) on Fertility

    Open Access•Giulio Giacomo Cantone, Venera Tomaselli•ARTICLE•Social Indicators Research•2024•Cited by: 1•References: 65

    This study checks the hypothesis that sustainable well-being is a determinant factor of fertility through the application of a multiversal method based on the assumptions of Vibration of Effects (VoE) model of multiversal sampling on the Italian Equitable and Sustainable Well-being (BES) dataset. For 48 social indicators of well-being, adopting the Province as statistical unit, the estimate of linear effect has been systematically sampled 1024 ti…

  • Evaluating Rank-Coherence of Crowd Rating in Customer Satisfaction

    Open Access•Venera Tomaselli, Giulio Giacomo Cantone•ARTICLE•Social Indicators Research•2020•Cited by: 1•References: 6

    Crowd rating is a continuous and public process of data gathering that allows the display of general quantitative opinions on a topic from online anonymous networks as they are crowds. Online platforms leveraged these technologies to improve predictive tasks in marketing. However, we argue for a different employment of crowd rating as a tool of public utility to support social contexts suffering to adverse selection, like tourism. This aim needs …

  • Evaluating Rank-Coherence of Crowd Rating in Customer Satisfaction

    Open Access•Venera Tomaselli, Giulio Giacomo Cantone•ARTICLE•Social Indicators Research•2020•Cited by: 1•References: 6

    Crowd rating is a continuous and public process of data gathering that allows the display of general quantitative opinions on a topic from online anonymous networks as they are crowds. Online platforms leveraged these technologies to improve predictive tasks in marketing. However, we argue for a different employment of crowd rating as a tool of public utility to support social contexts suffering to adverse selection, like tourism. This aim needs …

  • Methods, Developments, and Technological Innovations for Population Surveys

    Open Access•Venera Tomaselli, Sebastiano Battiato et al.•ARTICLE•Social Science Computer Review•2021•Cited by: 2•References: 16

    This article reviews contemporary issues in survey research, connecting established methods to innovative tools and technologies like real-time sensors and computer vision. This link takes into account the idea about the “organical” nature of Big Data, which represents a challenge toward a modernization of population studies in the light of technological innovations. The adopted dominant paradigm of data gathering is web survey (computer-assisted…

  • How to measure interdisciplinary research? A systemic design for the model of measurement

    Open Access•Giulio Giacomo Cantone•ARTICLE•Scientometrics•2024

    Interdisciplinarity is a polysemous concept with multiple, reasoned and intuitive, interpretations across scholars and policy-makers. Historically, quantifying the interdisciplinarity of research has been challenging due to the variety of methods used to identify metadata, taxonomies, and mathematical formulas. This has resulted in considerable uncertainty about the ability of quantitative models to provide clear insights for policy-making. This …

  • Theory and methods of the multiverse

    Open Access•Giulio Giacomo Cantone, Venera Tomaselli•ARTICLE•Quality & Quantity•2024

    Multiverse analysis involves systematically sampling a vast set of model specifications, known as a multiverse, to estimate the uncertainty surrounding the validity of a scientific claim. By fitting these specifications to a sample of observations, statistics are obtained as analytical results. Examining the variability of these statistics across different groups of model specifications helps to assess the robustness of the claim and gives insigh…

  • A Multiversal Model of Vibration of Effects of the Equitable and Sustainable Well-Being (BES) on Fertility

    Open Access•Giulio Giacomo Cantone, Venera Tomaselli•ARTICLE•Social Indicators Research•2024•Cited by: 1•References: 65

    This study checks the hypothesis that sustainable well-being is a determinant factor of fertility through the application of a multiversal method based on the assumptions of Vibration of Effects (VoE) model of multiversal sampling on the Italian Equitable and Sustainable Well-being (BES) dataset. For 48 social indicators of well-being, adopting the Province as statistical unit, the estimate of linear effect has been systematically sampled 1024 ti…

  • Estimation of disciplinary similarity with large language models

    Open Access•Giulio Giacomo Cantone, Er-Te Zheng et al.•ARTICLE•Scientometrics•2025

    The parameter that captures the similarity among disciplinary categories is a key quantity of many measures of interdisciplinarity. This study evaluates the feasibility of using large language models to estimate this parameter rather than using traditional methods based on citational networks among disciplines. An experimental procedure tested the precision, agreement, resilience, robustness, and explainability of estimates from OpenAI’s ChatGPT,…

  • Reflections on the house-of-mirrors

    Giulio Giacomo Cantone•ARTICLE•International Journal of Social…•2025•References: 4

  • Distorted claims about distortions, a response to Reflections on the House of Mirrors

    Giulio Giacomo Cantone•ARTICLE•International Journal of Social…•2025

Computer Science (6 works) · Data mining (4 works) · Data science (4 works) · Mathematics (4 works) · Sociology (4 works) · Econometrics (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Data collection (2 works) · Digital Marketing and Social Media (2 works)

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