I think a concomitant variable can be used in the ranking process even if it is negatively correlated to the study variable. In this case, the units in the set take ranks {1,2, ..., k} when the set size k. On the other hand, we know that the ranks of the units are {k, k-1, ..., 1} according to the study variable. Thus, it is assumed that the kth ordered unit is selected from the first set, the (k-1)th ordered unit is selected from the second set, and so on. After all, m units are selected from each judgement rank for full measurement when the number of cycles is m.