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The urban south and the predicament of global sustainability
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“The literature on city-scale mitigation strategies is also strongly biased towards the Global North [466], while key mitigation challenges are expected to arise from the Global South [570].”
From Tackling climate change with machine learning (2023) · cites this paper as [570]
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Metadata
- Authors
- Nagendra, H., Bai, X., Brondizio, E. S., & Lwasa, S.
- Affiliations
- Azim Premji University (IN)
- Australian National University (AU)
- Makerere University (UG)
- Corresponding author
- Nagendra, Harini
- Bai, Xuemei
- Venue
- Nature Sustainability
- Published
- 2018-07-16
- Volume
- 1
- Issue
- 7
- Pages
- 341-349
- ISSN
- 2398-9629 (ISSN-L)
- OpenAlex
- W2830368892
- Cited by
- 564
- References
- 77
- Citations by year
- 2026: 65 · 2025: 68 · 2024: 73 · 2023: 71 · 2022: 73 · 2021: 104 · 2020: 62 · 2019: 45 · 2018: 3
- FWCI
- 177.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Sustainability (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Topics
- Social Sciences › Urban Studies › Urban Development and Societal Issues
- Social Sciences › Urban Studies › Urban Planning and Governance
- Social Sciences › Urban Studies › Urban and Rural Development Challenges
- Keywords
- urbanization, Global South, global sustainability, urban sustainability, research bias, knowledge production
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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