Based on the review of the uploaded files, the following issues related to unclear respondent types in `schema.csv` were identified:

1. **Issue 1: Undefined Respondent Type in Schema**
   ```json
   {
       "issue": "Undefined respondent type in schema",
       "evidence": "CodingWorker: Respondents who indicated they were \"Employed full-time\", \"Employed part-time\", or \"Independent contractor, freelancer, or self-employed\" AND write code to analyze data in their current job",
       "description": "The schema includes a 'CodingWorker' type not mentioned in RespondentTypeREADME.txt, causing ambiguity about its criteria, which are not documented with other respondent types."
   }
   ```

2. **Issue 2: Potential Missing Respondent Type in README**
   ```json
   {
       "issue": "Missing respondent type definitions in README",
       "evidence": "The README should define all respondent types listed, but it omits 'CodingWorker'.",
       "description": "RespondentTypeREADME.txt lacks clarification on 'CodingWorker', despite its presence in the schema, potentially confusing users about the data structure."
   }
   ```

3. **Issue 3: Lack of Consistency Across Files**
   ```json
   {
       "issue": "Inconsistency between respondent types in schema and README",
       "evidence": "Respondent types in the schema (e.g., 'Non-worker', 'Worker') are not fully explained in RespondentTypeREADME.txt.",
       "description": "README documentation does not cover all respondent types in the schema, leading to understanding gaps. Each type should have a documented definition for clarity and data representation accuracy."
   }
   ```

These issues underscore the need for improved documentation and consistency to prevent user confusion when analyzing the dataset.