Modal verbs in London’s climate change reports

Given that London is exposed to the negative consequences of cli-mate change, the Greater London Authority (GLA) has authored a number of climate change reports. However, little is known about linguistic and discursive means that characterise the GLA’s climate change reports. Attempting to bridge the present gap, this paper looks into the frequency and pragmatic use of the central modal verbs (for instance, “can,” “could,” “may,” “might,” etc.) in a corpus of the GLA’s climate change reports that are available to the public at large. By means of using a mix of quantitative and qualitative methodology, the paper shows that the central modal verbs “will,” “can,” and “should” are the most frequently occur-ring modals in the corpus, in which they play a range of prag-matic roles that are further analysed in the paper.

Authors

Publication Details

Journal
ExELL
Published
2026-01-22
DOI
https://doi.org/10.51558/2303-4858.2025.13.2.94
Primary Topic
Discourse Analysis in Language Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modal verbs in London’s climate change reports

Kapranov Oleksandr
ExELL
Discourse Analysis in Language Studies
article

Modal verbs in London’s climate change reports

Kapranov Oleksandr
article en

Abstract

Given that London is exposed to the negative consequences of cli-mate change, the Greater London Authority (GLA) has authored a number of climate change reports. However, little is known about linguistic and discursive means that characterise the GLA’s climate change reports. Attempting to bridge the present gap, this paper looks into the frequency and pragmatic use of the central modal verbs (for instance, “can,” “could,” “may,” “might,” etc.) in a corpus of the GLA’s climate change reports that are available to the public at large. By means of using a mix of quantitative and qualitative methodology, the paper shows that the central modal verbs “will,” “can,” and “should” are the most frequently occur-ring modals in the corpus, in which they play a range of prag-matic roles that are further analysed in the paper.

ExELL
Climate action
Openalex Percentile: Top 83%
Discourse Analysis in Language Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.