Reclamation-Aware Augmentation: A Community-in-the-Loop Pipeline for Generating Contrastive Slur-Reclamation Data

Five-stage multi-model pipeline producing contrastive minimal pairs for pragmatically sensitive classification; introduces MPEC, a masked composite scoring gate validated against community annotators (72%–100% confirmation monotonically by score band); 154 community-validated pairs double the reclamatory training class and raise downstream binary F1 by up to 17.6%.