| |
|
|
| Registros recuperados : 77 | |
| 28. |  | MIRANDA, J. I.; SOUZA, K. X. S. de; CHAIM, M. L.; VISOLI, M. C.; NAKA, J. Sistema de monitoramento e controle geo-referenciado de pragas e doenças sob o regime da produção integrada de frutas. In: CONFERÊNCIA INTERNACIONAL SOBRE RASTREABILIDADE DE ALIMENTOS, 1.; SEMINÁRIO FRANCO-BRASILEIRO, SEGURANÇA SANITÁRIA ANIMAL, 2004, São Paulo. Anais... São Paulo: Ministério da Agricultura Pecuária e Abastecimento, 2004. p. 235-240.| Biblioteca(s): Embrapa Agricultura Digital. |
|    |
| 29. | | MIRANDA, J. I.; CHAIM, M. L.; SOUZA, K. X. S. de; NAKA, J. Um sistema Web para a gerência dos dados da produção integrada de frutas. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 5.; SIMPÓSIO BRASILEIRO DE TECNOLOGIA DA INFORMAÇÃO NO AGRONEGÓCIO COOPERATIVO, 2., 2005, Londrina. Agronegócio, tecnologia e inovação: anais. Londrina: SBI-Agro, 2005. 8 p.| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| 32. | | VASCONCELOS, G. T.; SOUZA, K. X. S. de; OLIVEIRA, S. R. de M.; CAMARGO NETO, J. Montagem de ambiente para classificação de solos usando ScikitLearn. In: MOSTRA DE ESTAGIÁRIOS E BOLSISTAS DA EMBRAPA INFORMÁTICA AGROPECUÁRIA, 14., 2018, Campinas. Resumos expandidos... Brasília, DF: Embrapa, 2018. p. 104-110. (Embrapa Informática Agropecuária. Eventos técnicos & científicos, 1). Editores técnicos: Carla Geovana do Nascimento Macário, Carla Cristiane Osawa, Flávia Bussaglia Fiorini, Maria Fernanda Moura, Poliana Fernanda Giachetto.| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| 36. | | VASCONCELOS, G. T.; SOUZA, K. X. S. de; CAMARGO NETO, J.; OLIVEIRA, S. R. de M. Utilizando processamento em cascata e agrupamento em imagens para otimizar modelos de classificação de solos. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 12., 2019, Indaiatuba. Anais... Ponta Grossa: SBIAGRO, 2019. p. 569-575. Organizadores: Maria Fernanda Moura, Jayme Garcia Arnal Barbedo, Alaine Margarete Guimarães, Valter Castelhano de Oliveira. SBIAgro 2019.| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| 40. | | CAMARGO NETO, J.; TERNES, S.; SOUZA, K. X. S. de; YANO, I. H.; QUEIROS, L. R. Uso de redes neurais convolucionais para detecção de laranjas no campo. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 12., 2019, Indaiatuba. Anais... Ponta Grossa: SBIAGRO, 2019. p. 312-321. Organizadores: Maria Fernanda Moura, Jayme Garcia Arnal Barbedo, Alaine Margarete Guimarães, Valter Castelhano de Oliveira. SBIAgro 2019.| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| Registros recuperados : 77 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
03/03/2022 |
|
Data da última atualização: |
17/03/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
BONATTI, M.; ERISMANN, C.; ASKHABALIEVA, A.; BORBA, J.; POPE, K.; REYNALDO, R.; EUFEMIA, L.; TURETTA, A. P. D.; SIEBER, S. |
|
Afiliação: |
MICHELLE BONATTI, Leibniz Centre for Agricultural Landscape Research/Humboldt University of Berlin; CARLA ERISMANN, Leibniz Centre for Agricultural Landscape Research/Humboldt University of Berlin; AYNA ASKHABALIEVA, Leibniz Centre for Agricultural Landscape Research; JULIANO BORBA, Leibniz Centre for Agricultural Landscape Research; KAMILA POPE, Leibniz Centre for Agricultural Landscape Research; RENATA REYNALDO, UFRJ; LUCA EUFEMIA, Leibniz Centre for Agricultural Landscape Research/Humboldt University of Berlin; ANA PAULA DIAS TURETTA, CNPS; STEFAN SIEBER, Leibniz Centre for Agricultural Landscape Research/Humboldt University of Berlin. |
|
Título: |
Social learning as an underlying mechanism for sustainability in neglected communities: the Brazilian case of the Bucket Revolution project. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Environment, Development and Sustainability, 2022. |
|
DOI: |
https://doi.org/10.1007/s10668-022-02167-z |
|
Idioma: |
Inglês |
|
Notas: |
On-line first. |
|
Conteúdo: |
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. MenosIn 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 institutio... Mostrar Tudo |
|
Palavras-Chave: |
Community-based food systems; Endogenous social learning; Socio-ecological innovation; Transformative learning; Triple-loop learning. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232092/1/Social-learning-as-an-underlying-mechanism-for-sustainability-2022.pdf
|
|
Marc: |
LEADER 02969naa a2200301 a 4500
001 2140500
005 2022-03-17
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10668-022-02167-z$2DOI
100 1 $aBONATTI, M.
245 $aSocial learning as an underlying mechanism for sustainability in neglected communities$bthe Brazilian case of the Bucket Revolution project.$h[electronic resource]
260 $c2022
500 $aOn-line first.
520 $aIn 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.
653 $aCommunity-based food systems
653 $aEndogenous social learning
653 $aSocio-ecological innovation
653 $aTransformative learning
653 $aTriple-loop learning
700 1 $aERISMANN, C.
700 1 $aASKHABALIEVA, A.
700 1 $aBORBA, J.
700 1 $aPOPE, K.
700 1 $aREYNALDO, R.
700 1 $aEUFEMIA, L.
700 1 $aTURETTA, A. P. D.
700 1 $aSIEBER, S.
773 $tEnvironment, Development and Sustainability, 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Solos (CNPS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
