Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 294

The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.

The IPCC and the new map of science and politics

Open access
Beck, Silke, Mahony, Martin·2018·WIREs Climate Change
DOI 10.1002/wcc.547
Open this paper in CoChat — free account

Abstract

In this study, we review work which seeks to understand and interpret the place of the Intergovernmental Panel on Climate Change (IPCC) within the science and politics of climate change in the context of a post‐Paris polycentric governance regime and the culture of “post‐truth” politics. Focusing on studies of how the IPCC has sought to maintain a boundary between the scientific and the political, we offer an historical account of “boundary work” within the IPCC which is instructive for thinking, in an anticipative mode, about emerging and likely challenges to the IPCC's position as a science–policy boundary organization. We suggest that the relationships between climate science and policy are undergoing fundamental transformation in light of the Paris Agreement, and contend that the IPCC will need to be nimble and reflexive in meeting new challenges. Growing calls for more “solution‐oriented” assessment question the IPCC's positioning at the science—politics boundary, where it can function to put some policy options on the table, while obscuring others. Recent controversies over proposed mitigation solutions are indicative of likely future challenges. We suggest that by adopting a mode of “responsible assessment,” the IPCC can continue to exercise its world‐making power in a relevant and legitimate fashion. This article is categorized under:Social Status of Climate Change Knowledge > Climate Science and Decision Making

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/wcc.547

Cites

128 of 128 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 294

Metadata

Authors
Beck, S., & Mahony, M.
Venue
WIREs Climate Change
Publisher
Wiley
Published
2018-08-21
Volume
9
Issue
6
ISSN
  • 1757-7780 (ISSN-L)
  • 1757-7799
DOI
10.1002/wcc.547
OpenAlex
W2888476021
Cited by
294
References
128
FWCI
12.38
Type
journal article
Language
en
Open access
hybrid

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.