Evidence map›Paper›PMID 35587484›Full record

ArticlePloS one2022

Sources of convergence in indigenous languages: Lexical variation in Yucatec Maya.

Barbara Blaha Pfeiler, Stavros Skopeteas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 2 countries.

Barbara Blaha PfeilerCentro Peninsular en Humanidades y Ciencias Sociales-Universidad Nacional Autónoma de México, Merida, Yucatán, Mexico.
Stavros SkopeteasInstitute of Linguistics, Georg-August University of Göttingen, Göttingen, Lower Saxony, Germany.ORCID 0000-0002-2827-0518
Autonomous University of Yucatán · MXUniversity of Göttingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linguistic variation in space reflects patterns of social interaction. Gravity models have been successfully used to capture the role of urban centers in the dissemination of innovations in the speech community along with the diffusion of variants in space. Crucially, the effects of the factors of a gravity model (distance and population size) depend on language situation and may result from different sources, in particular processes of vertical and horizontal convergence. In the present study, we investigate lexical variation in contemporary Yucatec Maya, an indigenous language of Mexico, spoken in a situation of generalized bilingualism. This language situation lacks some crucial ingredients of vertical convergence: no variety of Yucatec Maya has the status of a standard variety: the language of administration and education is Spanish (diglossia-with-bilingualism). The present study finds evidence of convergence processes that can be exclusively attributed to horizontal convergence. The lexical distance between speakers decreases in and between urban centers, variants with a large distribution are more likely in areas with a maximum of interactions with other areas. Even Spanish variants are distributed in the sample with a pattern that reveals processes of horizontal convergence: their distribution is accounted for through an areal bias (widespread in areas with a stronger exposition to Spanish) rather by influences from the urban centers (as centers of administration/education) to the rural areas in their surroundings.

Indexed as

LanguageMultilingualismHumansIndians, North AmericanIndigenous PeoplesLinguisticsMexicoSpeech

Identifiers

PMID35587484
PMCPMC9119476
OpenAlexW4280609540

What OpenQuestion holds

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LicenceCC BY
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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.