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Text files: readme_general.txt contains a brief description of files included. readme_modeldata.txt contains a metadata description of model_data.csv. readme_languageslandNorthAmerica.txt contains a metadata description of Languages_land_NorthAmerica.csv. readme_languagerevitalizationdatabase.txt contains a metadata description of Language_revitalization_database.csv. CSV files: Languages_land_NorthAmerica.csv is a version of the Languages of Government-Recognized Native Land Areas in the Continental United States database. It includes data from the US Census 2017 TIGER/Line AIANNH shapefile with one row per Native land area and additional columns for associated information that was coded and calculated for this dissertation as discussed in Section 3.3.1. Language_revitalization_database.csv is the Language Revitalization Database. It contains the master language list used for this dissertation and columns created while coding data for the language revitalization variable, as discussed in Section 3.3.2. model_data.csv contains data for all variables used in the analysis and is the .csv file needed to run LanguageVitalityModels.R. R scripts: LanguageVitalityModels.R is the R script for the main part of the dissertation analysis.
This work was supported in part by the Bilinski Dissertation Fellowship and by the Max Planck Institute for the Science of Human History / Evolutionary Anthropology, Department of Linguistic and Cultural Evolution. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. 1329626. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation or other funding organizations.
traditional ecological knowledge, geolinguistics, language revitalization, linguistic geography, biocultural diversity, language endangerment
traditional ecological knowledge, geolinguistics, language revitalization, linguistic geography, biocultural diversity, language endangerment
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