Evidence map›Paper›PMID 39975661›Full record

ArticleRoyal Society open science2025

Projected speaker numbers and dormancy risks of Canada's Indigenous languages.

Michaël Boissonneault, Adam Tallman, Volker Gast, Simon J Greenhill

Abstract read
In one paragraph

Article in Royal Society open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michaël BoissonneaultDepartment of demography and population sciences, Université de Montréal, Montreal, Canada.ORCID https://orcid.org/0009-0002-5618-311X
Adam TallmanDepartment of English and American Studies, Friedrich-Schiller-Universität Jena, Jena, Germany.
Volker GastDepartment of English and American Studies, Friedrich-Schiller-Universität Jena, Jena, Germany.
Simon J GreenhillSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-7832-6156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

UNESCO launched the International Decade of Indigenous Languages in 2022 to draw attention to the impending loss of nearly half of the world's linguistic diversity. However, how the speaker numbers and dormancy risks of these languages will evolve remains largely unexplored. Here, we use Canadian census data and probabilistic population projection to estimate changes in speaker numbers and dormancy risks of 27 Indigenous languages. Our model suggests that speaker numbers could, over the period 2001-2101, decline by more than 90% in 16 languages and that dormancy risks could surpass 50% among five. Since the declines are greater among already less commonly spoken languages, just nine languages could account for more than 99% of all Canadian Indigenous language speakers in 2101. Finally, dormancy risks tend to be higher among isolates and within specific language families, providing additional evidence about the uneven nature of language endangerment worldwide. Our approach further illustrates the magnitude of the crisis in linguistic diversity and suggests that demographic projection could be a useful tool in assessing the vitality of the world's languages.

Indexed as

census dataindigenous languages of Canadainternational decade of indigenous languageslanguage endangermentlinguistic diversitypopulation projection

Identifiers

PMID39975661
PMCPMC11836540

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Registered trials

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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.