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  • 1
    Language: English
    Pages: 1 Online-Ressource (16 Seiten)
    Publ. der Quelle: : Springer Nature, 2024
    Angaben zur Quelle: 11
    DDC: 300
    Keywords: Complex networks ; Environmental studies ; Sozialwissenschaften
    Abstract: Although social learning (SL) conceptualization and implementation are flourishing in sustainability sciences, and its non-rigid conceptual fluidity is regarded as an advantage, research must advance the understanding of SL phenomenon patterns based on empirical data, thus contributing to the identification of its forms and triggering mechanisms, particularly those that can address urgent Anthropocene socio-ecological problems. This study aims to discover fundamental patterns along which SL in natural resources management differs by identifying SL archetypes and establishing correlations between the SL process and overall geopolitical conditions. Using a systematic literature review comprising 137 case studies in the five continents, content analysis, and correlations were performed. Results show two main archetypes of social learning (endogenous and exogenous). Their occurrence was linked, to where social learning occurs and how venues/preconditions for social learning are placed. In the Global South, endogenous SL should be better potentialized as a catalyzer of deliberative processes for sustainable natural resources management.
    Abstract: Peer Reviewed
    URL: Volltext  (kostenfrei)
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  • 2
    ISSN: 1387-585X , 1387-585X
    Language: English
    Pages: 1 Online-Ressource (19 Seiten)
    Publ. der Quelle: Dordrecht [u.a.] : Springer Science + Business Media B.V
    Angaben zur Quelle: , Seiten 1-19
    DDC: 300
    Keywords: Socio-ecological innovation ; Transformative learning ; Community-based food systems ; Triple-loop learning ; Endogenous social learning ; Sozialwissenschaften
    Abstract: In neglected communities, waste and organic residues are not only a vector of several problems, like diseases and water pollution, but also a contributor to increasing forms of vulnerability and marginalization. At the same time, these communities also have presented innovative local initiatives and transformative learning about natural resources management that can be a vehicle for achieving more sustainable food systems. In the south of Brazil, community-based organic residue management has shown an extraordinary potential to improve food security and livelihoods for (≈1600) community members of a vulnerable urban territory. In this context, the overall objective of this article is (a) To better understand what Social Learning (SL) processes related to successful organic residues management in neglected communities exist and (b) To identify what knowledge systems are created in one empirical case. The study case is based on a communitarian waste management project, the Bucket Revolution Project (BRP). The analytical framework builds upon social learning theory and its triple-loop process focusing on four specific phenomena. The applied mixed-methods approach was made in four steps: 1. a focus group to investigate collective community issues; 2. semi-structured interviews to investigate specific and individual issues in the context of the BRP; 3. social media analysis to better understand the BRP narratives; and finally 4. participant observation in community and institutional meetings. Mainly using MaxQda software and coding indicators of SL, the data show that “Diversity of knowledge integration” is the most identified SL indicator in the interviews (52%). For BRP, identity development, community conditions improvement, and environment understanding are three key components of the knowledge system enhanced through an underlying process of social learning. Furthermore, the study also shows that there are endogenous and exogenous social learning processes at work.
    Abstract: Peer Reviewed
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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