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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Recoded data for "Animacy-based nominal classification in northwestern Bantu and beyond"

Authors: Di Garbo, Francesca; Rahabi, Lyne; Verkerk, Annemarie;

Recoded data for "Animacy-based nominal classification in northwestern Bantu and beyond"

Abstract

In order to make our northwestern Bantu dataset (Di Garbo and Verkerk 2022; Verkerk and Di Garbo 2022) fully comparable with Tom's (Güldemann 2023) Central African dataset, we recoded those languages of our sample that display animacy-based agreement as well as those which have completely lost gender. The latter was done in order to check whether, even in the absence of gender, any coding of animacy still affects aspects of nominal morphosyntax such as number marking. The study was essentially run by Lyne Rahabi, student assistant at Aix-Marseille University, in July 2024. Annemarie and Francesca took responsibility for the recoding of the genderless languages as well as the analysis of the newly coded data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average