But what alternate epistemology do you propose that could predictably counteract this tendency?

I think the compression principle provides a pretty stark criterion. If a mathematical result can be used to achieve an improved compression rate on a standard empirical dataset, it's a worthy contribution to the relevant science. If it can't, then it still might be a good result, but it should be sent to a math journal, not a science journal.