Algorithmic performativity in universities' engagement analytics

Replication package for the article in algorithmic performativity in universities’ engagement analytics. WHAT THIS DEPOSIT CONTAINS- data.zip A PDF corpus of public university governance documents about engagement / learning analytics (35 publicly available PDF documents from 24 universities in 11 countries) - document_index.csv Metadata for each document: country, institution, title, document type, language, source URL, retrieval date, - run_analysis_v18.py + requirements.txt Reproducible pipeline that extracts text from the PDFs, computes multilingual lexicon indicators, applies a polysemy safeguard for English 'withdraw*' (programme withdrawal vs consent withdrawal), aggregates to the HEI policy-stack level, computes indices and archetypes, and writes the results tables used in the manuscript. And txt file with Python environment requirements. - lexicons_v18.json Lexicons used for EN/NL/DE/FI quantitative analysis. HOW TO REPRODUCE RESULTS1) Download and unzip this deposit.2) Install Python 3.10+ and the dependencies: pip install -r requirements.txt3) Run the pipeline from the repo root: run_analysis_v18.py4) Outputs will be (re)written into the analysis/ folder: - doc_level_metrics_v18.csv - hei_level_metrics_v18.csv - archetype_assignments_v18.csv - stats_summary_v18.json NOTES ON SCOPE AND LANGUAGES- Quantitative lexicon metrics are computed for Latin-script languages included in the lexicon file (EN/NL/DE/FI).- Japanese/Korean documents are retained for qualitative contextual reading only and flagged in the metadata.