Jake Lawrence · Critical Education Studies / STS · Sorting & Education theme
AI detection tools are marketed as academic integrity measures. In practice, they function as classification infrastructure that determines which students get believed.
Analyzes AI writing detection tools as classification infrastructure. Examines false positive rates, disparate impact on non-native English speakers and students with disabilities, and procedural due process gaps.
Both examine how classification distributes consequences while remaining invisible. One in AI architecture, the other in AI deployment.
Sorting Hat examines AI detection tools as classification infrastructure in education. Stance Design examines AI personality tuning as classification infrastructure in the product layer. Same dynamic, different institution.
Both trace how a system designed for one purpose became invisible infrastructure that sorts people with real consequences.
AI detection sorts students in higher ed. Special ed sorts children in K-12. Same pattern, different context, same consequences.
The essay makes the theoretical argument. The tracker provides the empirical evidence.
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