Jake Lawrence · Higher Education Policy / STS · Field Data theme
25 universities. 11 dimensions. 1.3 million students in scope. The empirical companion to the essays.
Mixed-methods policy audit examining AI detection implementation across 25 U.S. universities. Stratified sampling by Carnegie classification. 11-dimension evaluation framework.
Stance Design argues companies make invisible decisions about how AI relates to users. The tracker documents 25 universities making invisible decisions about how detection tools relate to students. Same asymmetry of design.
The essay makes the theoretical argument. The tracker provides the empirical evidence.
The tracker audits AI detection in universities. The Sorting Machine examines classification in K-12. Both document the gap between policy and experience.
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