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I added a small change to update the way we get the harvard queryset, which has over ~350k objects.
The original approach could cause memory issues because we get the ~350k clusters and use prefetch_related to get their opinions, if we still wanted to use prefetch_related, we will have to use an iterator with chunk_size param to avoid getting everything.
The new approach is similar to the one bill implemented for columbia ordering, we get the cluster_ids of the clusters that we need to update their opinions, and then use the id to get the opinions and order them.