Replication Data and Coding Framework for Post-Qualification Internship Advertisements in India
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This repository contains the replication data and coding materials for the article examining post-qualification internship advertisements in India using the U.S. Primary Beneficiary Test framework. The dataset consists of internship advertisements collected in 2024 from a major online job platform and coded across multiple legal and economic variables reflecting wage structure, duration, supervision, training claims, and displacement risk. The repository includes:(1) The cleaned and combined analytical dataset used for statistical analysis;(2) The original structured extraction dataset;(3) Intercoder reliability metrics (Cohen’s kappa) used to validate the coding framework; and(4) A codebook describing variable construction and operationalisation of the Primary Beneficiary Test factors. All data have been anonymised and do not contain personal identifiers. The dataset enables replication of descriptive statistics, reliability calculations, and regression analyses reported in the article. 🔎 If You Want Slightly More Formal (For ABDC A Tone) This repository provides the replication dataset and methodological documentation supporting the legal-empirical analysis of post-qualification internship advertisements in India. The study operationalises the Primary Beneficiary Test under U.S. labour jurisprudence to assess whether advertised internships function as substitute entry-level employment. The materials include the final analytical dataset, coding framework, intercoder reliability outputs, and accompanying documentation necessary to reproduce the empirical findings. ⚠ Important Do NOT: Mention journal name Mention submission status Use argumentative language (“exploitative”, “illegal”, etc.) Say “confidential data removed” unless necessary Keep it professional and replicability-focused. If you want, next I can draft: Keywords Version note (e.g., Version 1.0 – Pre-publication) Data Availability Statement (journal-ready sentence) Tell me which journal this is going to.



