A School of Emergent Priorities brochure sets out a four-cell framework for classifying secondhand marketplace sellers, and the automatic delisting rule the University will build on it.
The Trajectory Analytics Group's pilot crosses reply speed against listing accuracy, and will delist the slowest, least accurate sellers automatically.
The School of Emergent Priorities is setting out its case for treating a marketplace review score as an instrument worth auditing, not a number worth trusting. A new brochure from the School names the four-cell framework its Trajectory Analytics Group is moving from proposal to pilot: a classification of secondhand marketplace sellers built by crossing how quickly a seller replies against how accurately a listing describes an item’s condition.
The framework names all four categories in public: sellers who reply promptly and describe accurately, sellers who reply promptly but describe loosely, sellers who describe accurately but reply slowly, and sellers who do neither. Only the last carries a binding consequence for now — automatic delisting, reinstated solely on a written appeal — while the accurate-but-slow category sits, unresolved, behind faster listings in the marketplace app’s own search order.
A classification only earns trust once its categories are written down where the people it sorts can read them.
— Dr Anneke Tolan, Senior Research Fellow, School of Emergent Priorities
The brochure marks the School’s latest attempt to carry its anticipatory-capability agenda into instruments most people never think to call research. Professor Verity Marris, Director of the Trajectory Analytics Group, said the framework’s real test would come once a category met a seller who disagreed with the one they had been placed in, “and the pilot is designed to make that argument possible, not to avoid it.”
The full brochure is available from the University’s research repository under an open licence, doi:10.5555/slop.8k1ahg.