Rendere visibile l’invisibile: disabilità e sviluppo sostenibile tra indicatori e stereotipi

Making Visible the Invisible: Disability and Sustainable Development between Indicators and Stereotypes

Keywords: Disability, SDGs, Stigma, Emotinal Text Mining

Abstract

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The Convention for the Rights of Persons with Disabilities and 2030 Agenda for Sustainable Development are the sign of a paradigm shift in addressing the exclusion and marginalization of people with disabilities. People with disability have to assume an active role in planning the changes of their own future. The availability of good quality comprehensive disability data is essential to plan governments policies and practices aimed at promoting equal opportunities and inclusion rights. They also help to identifying, measuring and monitoring policies’ effectiveness and the progress towards the SDGs. Among the causes of disability exclusion, prejudice and stigma prevail, which can take on multiple overlapping and transversal forms. They touch on every aspect of people with disabilities’ lives and it is challenging to directly measure them. As shown by the literature, official statistics and surveys are the mostly used tools to measure the objective elements of discrimination. Nonetheless, the subjective elements are probably the most relevant and pernicious ones as they are difficult to measure. This study shows some examples of measurable objective discrimination and propose a text mining method, Emotional Text mining (ETM), to overcome the difficulties in measuring the stereotypes and stigma that underlie discrimination.

References

Abide, J., & Sharma, D. (2014). Poverty, Disability, and Employment: Global Perspectives from the National Centre for Promotion of Employment for Disabled People. Career Develop. Transit. Except. Individ., 37, pp. 60-68, DOI: 10.1177/2165143413520180.

Abualghaib, O., Groce, N., Simeu, N., Carew, M. T., & Mont, D. (2019). Making visible the invisible: Why disability-disaggregated data is vital to "leave no-one behind". Sus-tainability (Switzerland), 11(11), DOI:10.3390/su11113091

Alaimo, L.S., & Maggino, F. (2019). Sustainable Development Goals Indicators at Terri-torial Level: Conceptual and Methodological Issues—The Italian Perspective. Social Indicators Research, DOI: 10.1007/s11205-019-02162-4

Altman, B.M. (Ed.) (2016). International Measurement of Disability. Purpose, Method and Application. Geneva: Springer International Publishing.

Braithwaite, J., & Mont, D. (2009). Disability and poverty: A survey of World Bank pover-ty assessments and implications. Alter. European Journal of Disability Research, 3, pp. 219-232.

Camera dei Deputati (2019). L’Agenda globale per lo sviluppo sostenibile. Camera dei Deputati, Servizio Studi.

Ceron, A., Curini, L., & Iacus, S. (2013). Social Media e Sentiment Analysis. L’evoluzione dei fenomeni sociali attraverso la Rete. Milano: Springer.

Cordella, B., Greco, F., Carlini, K., Greco, A., & Tambelli, R. (2018). Infertilita e procrea-zione assistita: evoluzione legislativa e culturale in Italia. Rassegna di Psicologia, 35(3), pp. 45-56. DOI: 10.4458/1415-04.

Fronzetti Colladon, A. (2018). The Semantic Brand Score. Journal of Business Research, 88, pp. 150-160.

Global Partnership for Education (2018). Disability and Inclusive Education: A Stocktake of Education Sector Plans and GPE-Funded Grants. Washington DC: Global Partner-ship for Education.

Gloor, P.A. (2017). Sociometrics and Human Relationships: Analyzing Social Networks to Manage Brands, Predict Trends, and Improve Organizational Performance. London, UK: Emerald Publishing Limited.

Goffman, E. (1963). Stigma. London: Penguin.

Greco, F. (2016a). Integrare la disabilità. Una metodologia interdisciplinare per leggere il cambiamento culturale. Milano: FrancoAngeli.

Greco, F. (2016b). Les lois et le changement culturel: Le handicap en Italia et en France. Roma : Sapienza Università Editrice.

Greco, F. (2019a). Il dibattito sulla migrazione in campagna elettorale: Confronto tra il caso francese e italiano. Culture e Studi nel Sociale, 4(2), pp. 205-13.

Greco, F. (2019b). Measuring the use of statistics in policy making through text mining. Experts Meeting on Measuring Use of Statistics in Agricultural Policy Making, July 3rd, 2019, FAO Headquarter, Rome, Italy.

Greco, F. (2020). L'inclusione sociale della diversa abilità, della disabilità e dell'handicap. In Cipriani R. & Memoli R. (Eds.), La sociologia eclettica di Costantino Cipolla (pp. 180-190). Milano: Franco Angeli.

Greco, F., Alaimo, L.S., & Celardo, L. (2018). Brexit and Twitter: The voice of people. In D.F. Iezzi, L. Celardo, & M. Misuraca (Eds.). JADT’ 18: Proceedings of the 14th Inter-national Conference on Statistical Analysis of Textual Data (pp. 327–334). Rome, IT: Universitalia.

Greco, F., Celardo, L., & Alaimo, L.S. (2018). Brexit in Italy: Text mining of social media. In A. Abbruzzo, D. Piacentino, M. Chiodi, & E. Brentari (Eds.). Book of short papers SIS 2018 (pp. 767–772). Milano: Pearson.

Greco, F., Maschietti, D., & Polli, A. (2017). Emotional text mining of social networks: The French pre-electoral sentiment on migration. RIEDS, 71(2), pp. 125-136.

Greco, F., Monaco, S., Di Tran, M., & Cordella, B. (2019). Emotional text mining and health psychology: the culture of organ donation in Spain. In M. Carpita and L. Fabbris (Eds.), ASA Conference 2019 - Book od Short Papers Statistics for Health and Well-being, University of Brescia, September 25-27, 2019 (pp. 125-129). Padova: CLEUP.

Greco, F., & Polli, A. (2019a). Anatomy of a government crisis. Political institutions, secu-rity, and consensus. In L.S. Alaimo, A. Arcagni, E. di Bella, F. Maggino & M. Trapani (Eds.), Libro dei Contributi Brevi: AIQUAV 2019, VI Convegno Nazionale dell’Associazione Italiana, per gli Studi sulla Qualità della Vita, Benessere Collettivo e Scelte Individuali, Fiesole (FI), 12-14 Dicembre 2019 (pp. 177-183). Genova: Genova University Press. ISBN: 978-88-94943-76-4

Greco, F., & Polli, A. (2019b). Emotional text mining: Customer profiling in brand man-agement. International Journal of Information Management, doi:10.1016/j.ijinfomgt.2019.04.007

Greco, F., & Polli, A. (2019c). Vaccines In Italy: The Emotional Text Mining of Social Media. Rivista Italiana di Economia Demografia e Statistica, 73(1), pp. 89-98.

Greco, F., & Polli, A. (2020). La sicurezza tra percezione pubblica e statistiche ufficiali. In U. Conti and C. Federici (Eds.), Vivere i territori mediani: identità territoriali, emer-genze sociali e rigenerazione dei tessuti urbani. Roma: Meltemi.

Groce, N.E., Kembhavi, G., Wirz, S., Lang, R., Trani, J.F., & Kett, M. (2011). Poverty and Disability: A Critical Review of the Literature in Low and Middle-Income Countries. Working Paper No. 16. Leonard Cheshire Disability and Inclusive Development Centre, London, University College of London.

Groce, N.E., London, J., & Stein, M.A. (2014). Inheritance, poverty, and disability. Disa-bility & Society, 29, 1554–1568.

Hopkins, D., & King, G. (2010). A method of automated nonparametric content analysis for social science. American J. Pol. Sci., 54(1), pp. 229-247.

Ingstad, B., & Eide, A. (Eds.) (2011). Disability and Poverty: A Global Challenge. Cam-bridge, UK: British University Press.

Istat (2010). La disabilità in Italia. Il quadro della statistica ufficiale. Roma: Istat.

Istat (2019). Conoscere il mondo della disabilità. Persone, relazioni e istituzioni. Roma: Istat.

Jodelet, D. (1989). Folies et représentations socials. Paris, FR: PUF.

Liu, B. (2012). Sentiment analysis: Mining opinions, sentiments, and emotions. Sentiment analysis: Mining opinions, sentiments, and emotions. Morgan & Claypool.

Mani, S., Mitra, S., & Sambamoorthi, U. (2016). Dynamics in Health and Employment: Evidence from Indonesia. IZA Discussion Paper Series. Bonn: IZA.

Mittler, P. (2015). The UN convention on the rights of persons with disabilities: Imple-menting a paradigm shift. Journal of Policy and Practice in Intellectual Disabilities, 12(2), pp. 79-89. DOI:10.1111/jppi.12118

Mizunoya, S., & Mitra, S. (2013). Is there a disability gap in employment rates in develop-ing countries? World Development, 42, pp. 28–43.

Mizunoya, S., Mitra, S., & Yamasaki, I. (2018). Disability and school attendance in 15 low-and middle-income countries. World Development, 104, pp. 388–403. [Cros-sRef]Moscovici, S. (2005). Le rappresentazioni sociali. Bologna: Il Mulino.

Sachs, J.D. (2015). The age of sustainable development. New York: Columbia University Press.

Sen, A. (2010). The idea of justice. Cambridge, MA: Harvard University Press.

Schoen, H., Gayo-Avello, D., Metaxas, P., Mustafaraj, E., Strohmaier, M., & Gloor, P. (2013). The power of prediction with social media. Internet Res., 23(5), pp. 528-543.

Sightsavers (2016). Everybody Counts: Disability Disaggregation of Data Pilot Projects in India and Tanzania-Final Evaluation Report. Chippenham, UK: Sightsavers.

United Nations (2006). Convention on the rights of persons with disabilities. New York, NY: United Nations.

United Nations (2015). Transforming our World. The 2030 Agenda for sustainable deve-lopmet. A/RES/70/1. New York, NY: United Nations.

United Nations (2017). The Sustainable Development Goals Report 2017. New York: UNDP.

World Health Organization (2001). Classificazione internazionale del Funzionamento, della Disabilità e della Salute (ICF). Trento, IT: Erickson.

World Health Organization (2011). World Report on Disability. Geneva: World Bank.

Published
2020-05-11