Evidence map›Paper›PMID 38017079›Full record

ArticleScientific data2023

Grammars Across Time Analyzed (GATA): a dataset of 52 languages.

Frederic Blum, Carlos Barrientos, Adriano Ingunza, Damián E Blasi, Roberto Zariquiey

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2023. 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

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

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

5 authors.

Frederic BlumDepartment for Linguistic and Cultural Evolution, Max-Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID 0000-0002-2936-0275
Carlos BarrientosDepartment for Linguistic and Cultural Evolution, Max-Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID 0000-0002-2847-2611
Adriano IngunzaPontificia Universidad Católica del Perú, Lima, Peru.ORCID 0009-0008-4074-4764
Damián E Blasi *Department for Linguistic and Cultural Evolution, Max-Planck Institute for Evolutionary Anthropology, Leipzig, Germany. dblasi@fas.harvard.edu.ORCID 0000-0002-9885-1414
Roberto Zariquiey *Pontificia Universidad Católica del Perú, Lima, Peru. rzariquiey@pucp.edu.pe.ORCID 0000-0002-1421-1314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grammars Across Time Analyzed (GATA) is a resource capturing two snapshots of the grammatical structure of a diverse range of languages separated in time, aimed at furthering research on historical linguistics, language evolution, and cultural change. GATA comprises grammatical information on 52 diverse languages across all continents, featuring morphological, syntactic, and phonological information based on published grammars of the same language at two different time points. Here we introduce the coding scheme and design features of GATA, and we describe some salient patterns related to language change and the coverage of grammatical descriptions over time.

Identifiers

PMID38017079
PMCPMC10684564

What OpenQuestion holds

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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.