Methodology files for: Chapters 3 & 4 of 'A quantitative approach to the right to education: Concept, measurement, and effects'
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This archive contains the underlying data that is used to create the Right to Education dataset. The collection process roughly went as follows:First, the researcher and research assistants collected information on the legal protection of the right to education for countries in the sample (there is a full list at the end of the ReadMe). This information was analysed according to a coding guide and scored accordingly. The relevant excerpts from the sources and the legal analysis can be found in each country-pdf file. These files also contain a list of sources consulted, including (where applicable) URLs.Second, the legal analysis was converted into numerical scores and stored in a machine-readable format (xlsx for the dissertation, csv in this archive)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["education","inequality"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This archive contains the underlying data that is used to create the Right to Education dataset. The collection process roughly went as follows:First, the researcher and research assistants collected information on the legal protection of the right to education for countries in the sample (there is a full list at the end of the ReadMe). This information was analysed according to a coding guide and scored accordingly. The relevant excerpts from the sources and the legal analysis can be found in each country-pdf file. These files also contain a list of sources consulted, including (where applicable) URLs.Second, the legal analysis was converted into numerical scores and stored in a machine-readable format (xlsx for the dissertation, csv in this archive)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This archive contains the underlying data that is used to create the Right to Education dataset. The collection process roughly went as follows:First, the researcher and research assistants collected information on the legal protection of the right to education for countries in the sample (there is a full list at the end of the ReadMe). This information was analysed according to a coding guide and scored accordingly. The relevant excerpts from the sources and the legal analysis can be found in each country-pdf file. These files also contain a list of sources consulted, including (where applicable) URLs.Second, the legal analysis was converted into numerical scores and stored in a machine-readable format (xlsx for the dissertation, csv in this archive)
education; inequality