The construction of global warming and the politics of science
Abstract
Having outlined a theory of heterogeneous social construction, this article describes the scientific construction of climate change as a global-scale environmental problem caused by the universal physical properties of greenhouse gases. Critics have noted that this reductionist formulation serves a variety of political purposes, but instrumental and interest-based critiques of the use of scientific knowledge tend to ignore the ways in which a politics gets built into science at the upstream end. By retracing the history of climate modeling and of several scientific controversies, I unmask the tacit social and epistemic commitments implied by its specific practices. The specific scientific framing of global climate change has reinforced and been reinforced by the technocratic inclinations of global climate management. The social organization of climate change science and its articulation with the political process raise important questions about trust, uncertainty, and expertise. The article concludes with a discussion of the political brittleness of this dominant science-led and global-scale formulation of the climate change problem and the need for a more reflexive politics of climate change and of scientific knowledge based on active trust.
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In global environmental politics, the boundaries between science and non-science are increasingly blurred.
“This hybridization becomes particularly obvious in global environmental politics, where the boundaries between science and non-science are increasingly blurred (e.g., Demeritt, 2001; Grundmann, 2007).”
From What Is Driving the Water-Energy-Food Nexus? Discourses, Knowledge, and Politics of an Emerging Resource Governance Concept (2018) · cites this paper as Demeritt, 2001
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Balance as bias: global warming and the US prestige press
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Climate of scepticism: US newspaper coverage of the science of climate change
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Technical knowledge, discursive spaces and politics at the science–policy interface
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“This hybridization becomes particularly obvious in global environmental politics, where the boundaries between science and non-science are increasingly blurred (e.g., Demeritt, 2001; Grundmann, 2007).”
Background
- Authors
- Demeritt, D.
- Affiliations
- King's College London (GB)
- Corresponding author
- Demeritt, David
- ORCID
- Demeritt, David
- Venue
- Annals of the Association of American Geographers
- Publisher
- Informa UK Limited
- Published
- 2001-06
- Volume
- 91
- Issue
- 2
- Pages
- 307-337
- ISSN
- 0004-5608 (ISSN-L)
- 1467-8306
- OpenAlex
- W2155138512
- Cited by
- 729
- References
- 159
- Citations by year
- 2026: 33 · 2025: 21 · 2024: 21 · 2023: 17 · 2022: 23 · 2021: 33 · 2020: 20 · 2019: 50 · 2018: 35 · 2017: 35 · 2016: 29 · 2015: 53 · 2014: 56 · 2013: 48 · 2012: 42
- FWCI
- 48.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of the Association of American Geographers (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Physical Sciences › Environmental Science › Global and Planetary Change › Sustainability and Climate Change Governance
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- global warming, climate science, politics of science, greenhouse gases, scientific controversy, technocracy, climate management, trust in expertise, uncertainty, heterogeneity, science and politics
About these checks
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.
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