ArticleDisasters2027
Fragile against what? Imagining climate change resilience by unmasking governance fragility.
Article in Disasters, 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
2 authors.
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Abstract
Since the 1990s, fragility has been used to describe low- and middle-income countries (LMICs) with limited ability to respond to external threats in ways that ensure citizen safety, security, and welfare. Fragility challenges us to engage with governance, including why and how many institutions (including those in high-income countries) fail to protect citizens during climate change. We ask the question: how can state fragility be applied, critiqued, and expanded when considering climate change, including anthropogenic drivers, extreme weather events, mitigation, and adaptation? We present a globally applicable framework of governance fragility and emphasise the role of institutional-level gaps in motivation/willingness to act, evidence uptake, and implementation in creating fragilities that inhibit climate resilience. Using the United States as a case study, we apply the framework to identify the political ideologies that inform institutional-level motivations, shape evidence uptake, and moderate implementation capacity. This expanded notion of governance fragility (beyond conflict-affected LMICs) offers a globally-relevant lens to imagine possible solutions, including a research-to-practice agenda that contends both with ideology/willingness to act and decentralised forms of climate governance in the face of national-level fragilities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.