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  CHIELD: the causal hypotheses in evolutionary linguistics database

Roberts, S. G., Killin, A., Deb, A., Sheard, C., Greenhill, S. J., Sinnemäki, K., et al. (2020). CHIELD: the causal hypotheses in evolutionary linguistics database. Journal of Language Evolution, 5(2): lzaa001, pp. 101-120. doi:10.1093/jole/lzaa001.

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 Creators:
Roberts, Seán G, Author
Killin, Anton, Author
Deb, Angarika, Author
Sheard, Catherine, Author
Greenhill, Simon J, Author
Sinnemäki, Kaius, Author
Segovia-Martín, José, Author
Nölle, Jonas, Author
Berdicevskis, Aleksandrs, Author
Humphreys-Balkwill, Archie, Author
Little, Hannah, Author
Opie, Christopher, Author
Jacques, Guillaume, Author
Bromham, Lindell, Author
Tinits, Peeter, Author
Ross, Robert M, Author
Lee, Sean, Author
Gasser, Emily, Author
Calladine, Jasmine, Author
Spike, Matthew, Author
Mann, Stephen Francis, AuthorShcherbakova, Olena1, Author           Singer, Ruth, AuthorZhang, Shuya, AuthorBenítez-Burraco, Antonio, AuthorKliesch, Christian, AuthorThomas-Colquhoun, Ewan, AuthorSkirgård, Hedvig, AuthorTamariz, Monica, AuthorPassmore, Sam, AuthorPellard, Thomas, AuthorJordan, Fiona1, Author more..
Affiliations:
1Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History, Max Planck Society, ou_2074311              

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Free keywords: database, causal graphs, causal inference
 Abstract: Language is one of the most complex of human traits. There are many hypotheses about how it originated, what factors shaped its diversity, and what ongoing processes drive how it changes. We present the Causal Hypotheses in Evolutionary Linguistics Database (CHIELD, https://chield.excd.org/), a tool for expressing, exploring, and evaluating hypotheses. It allows researchers to integrate multiple theories into a coherent narrative, helping to design future research. We present design goals, a formal specification, and an implementation for this database. Source code is freely available for other fields to take advantage of this tool. Some initial results are presented, including identifying conflicts in theories about gossip and ritual, comparing hypotheses relating population size and morphological complexity, and an author relation network.

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Language(s): eng - English
 Dates: 2020-04-162020-08
 Publication Status: Issued
 Pages: 20
 Publishing info: -
 Table of Contents: 1. Introduction
2. Causal inference and causal graphs
3. Design of the database
3.1 Expression
3.2 Exploration
3.2 Evaluation
3.3 Extension
3.3.1 Scope of data
3.3.2 Moderating contributions
4. Results
4.1 Case study 1: gossip, ritual, and language
4.2 Case study 2: population size and morphological complexity
4.3 Case study 3: networks of authors
4.4 Challenges
5. Conclusions
 Rev. Type: Peer
 Identifiers: DOI: 10.1093/jole/lzaa001
Other: shh2631
 Degree: -

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Title: Journal of Language Evolution
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 5 (2) Sequence Number: lzaa001 Start / End Page: 101 - 120 Identifier: ISSN: 2058-458X
CoNE: https://pure.mpg.de/cone/journals/resource/journals