How is information from different content domains bound together into a representation of the whole sequence? Several theories predict that mixing information from different domains speciﬁcally impairs the ordering of information from different domains, whereas ordering within domains might be enhanced. In contrast, domain-general models-in which items from different domains are simply assumed to be less confusable-predict that mixing items from different domains enhances ordering, as the list items will on average be less confusable. The results of an experiment showed an overall advantage for mixed over pure lists in ordering information, supporting the domain-general viewpoint. Simulations with a representative domain-general model-the start-end model of Henson [(1998). Short-term memory for serial order: The start-end model. Cognitive Psychology, 36, 73-137] -showed that the model gave a satisfactory account of the data. Together, the data and simulations lend evidence to the idea that a domain-general mechanism is responsible for ordering stimuli from different domains, and that domain-speciﬁc effects are attributable to the relative similarity of item representations.