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Record W4414747641 · doi:10.1038/s43247-025-02655-w

Publics and UK parliamentarians underestimate the urgency of peaking global greenhouse gas emissions

2025· article· en· W4414747641 on OpenAlexaboutno aff
John Kenny, Lucas Geese

Bibliographic record

VenueCommunications Earth & Environment · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsClimate changeGreenhouse gasPublicsParliamentGlobal warmingPublic opinionGlobal climateGlobal temperatureNormative

Abstract

fetched live from OpenAlex

Intergovernmental Panel on Climate Change assessment reports treat politicians as recipients of information, but not as foci of research efforts. Moreover, academic research on politicians' knowledge concentrates on belief in climate change's anthropogenic cause. Little is known of how aware national parliamentarians are of key findings and policy recommendations from assessment reports. Here, we address this through a survey of 100 Members of Parliament in the United Kingdom on their knowledge of the well-publicised statement from the 6th assessment report of when global greenhouse emissions need to peak for a global temperature increase limit of 1.5 °C to be possible. Parliamentarians overwhelmingly overestimate the time period humanity has left to bend the temperature curve although partisan differences apply. Public surveys in Britain as well as Canada, Chile and Germany show similarly low knowledge, yet being younger, worried about climate change, and having lower levels of conspiracy belief mentality increase accuracy significantly.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0000.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0180.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.264
GPT teacher head0.410
Teacher spread0.146 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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