I think you overstated the percentage of grants that include these "woke" terms. This dataset is going to be heavily biased towards grants that include lines like that. Without knowing what percent of total grants this dataset represents we don't have a good starting point to see how widespread this is. To get a really good sense of this, we'd need to also look at data from research proposals that didn't get funded.