I had in mind a way of putting probability distributions on unknown constants that avoids prior distributions and Bayes’ theorem. I though that this would answer the question you posed when you wrote:
It’s not specifically about the Bayesian approach in that it applies to various non-Bayesian probabilistic approaches (whatever those may be. can you think of any other approaches besides Bayesian epistemology that you think this is targeted at?)
I had in mind a way of putting probability distributions on unknown constants that avoids prior distributions and Bayes’ theorem. I though that this would answer the question you posed when you wrote: