Agritrop
Accueil

Participatory detection of language barriers towards multilingual sustainability(ies) in Africa

Litre Gabriela, Hirsch Fabrice, Caron Patrick, Andrason Alexander, Bonnardel Nathalie, Fointiat Valerie, Nekoto Wilhelmina Onyothi, Abbott Jade, Dobre Cristiana, Dalboni Juliana, Steuckardt Agnès, Luxardo Giancarto, Bohbot Hervé. 2022. Participatory detection of language barriers towards multilingual sustainability(ies) in Africa. Sustainability, 14 (13), n.spéc. Multidisciplinary Approaches to Multilingual Sustainability:8133, 15 p.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Prévisualisation
Version publiée - Anglais
Sous licence Licence Creative Commons.
Litre et al sustainability-14-08133.pdf

Télécharger (337kB) | Prévisualisation

Résumé : After decades of political, economic, and scientific efforts, humanity has not gotten any closer to global sustainability. With less than a decade to reach the UN Sustainable Development Goals (SDGs) deadline of the 2030 Agenda, we show that global development agendas may be getting lost in translation, from their initial formulation to their final implementation. Sustainability science does not “speak” most of the 2000 languages from Africa, where the lack of indigenous terminology hinders global efforts such as the COVID-19 pandemic fight. Sociolinguistics, social psychology, cognitive ergonomics, geography, environmental sciences, and artificial intelligence (AI) are all relevant disciplinary fields to uncover the “foreign language effect” that hinders the implementation of the SDGs in Africa. We make the case for detecting and addressing language barriers towards multilingual sustainability in Africa by (1) exploring the ”foreign language effect” among African decision-makers and recognising their alternative social representations about sustainability; and (2) detecting Western language stereotypes about sustainability. We propose rethinking SDG-related scientific notions through participatory natural language processing (NLP) and the study of African social representations of sustainability, thus enabling a more inclusive and efficient approach to “sustainability(ies)”.

Mots-clés Agrovoc : intelligence artificielle, durabilité, approche participative, psychologie, covid-19, développement durable, pandémie, recherche interdisciplinaire, ergonomie, sociologie

Mots-clés géographiques Agrovoc : Afrique

Mots-clés libres : Sustainable development goals, Multilingualism, Africa, Foreign language effect, Social psychology, Sociolinguistics, Natural Language Processing

Agences de financement hors UE : ODISSEIA (INCT). Observatory of Socio environmental Dynamics

Auteurs et affiliations

  • Litre Gabriela, CIRAD-ES-UMR SENS (FRA) - auteur correspondant
  • Hirsch Fabrice, Université de Montpellier (FRA)
  • Caron Patrick, CIRAD-ES-UMR ART-DEV (FRA) ORCID: 0000-0002-8494-2243
  • Andrason Alexander, Stellenbosch University (ZAF)
  • Bonnardel Nathalie, Aix-Marseille université (FRA)
  • Fointiat Valerie, Aix-Marseille université (FRA)
  • Nekoto Wilhelmina Onyothi, Masakhane (KEN)
  • Abbott Jade, Masakhane (KEN)
  • Dobre Cristiana, UNB [Universidade de Brasilia] (BRA)
  • Dalboni Juliana, UNB [Universidade de Brasilia] (BRA)
  • Steuckardt Agnès, CNRS (FRA)
  • Luxardo Giancarto, CNRS (FRA)
  • Bohbot Hervé, CNRS (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/606188/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-12-09 ]