AIC depends on the sample size (through p(Y|M)), so in order to be able to compare all models that model the same partitionability estimate, we compute AIC only on the subset of lemmas that enters in all analyses.
22 we compute the F test on all lemmas where the clusterability measure is valid, 23 in order to use the largest possible set of lemmas to test the viability of a model.