You should probably be skeptical when presented with binary hypotheses (either by someone else or by default). Say in this example that H1 is "emergence". The alternative for H1 isn't "mind-stuff" but simply ~H1. This includes the possibility of "mind-stuff" but also any alternatives to both emergence and mindstuff. Maybe a good rule to follow would be to assume and account for your ignorance from the beginning instead of trying to notice it.

One way to make this explicit might be to always have at least three hypotheses: One in favor, one for an alternative, and a catchall for ignorance; the catchall reflecting the little that you know about the subject. The less you know about the subject, the larger your bucket.

Maybe in this case, your ignorance allocation (i.e. prior probability for ignorance) is 50%. This would leave 50% to share between the emergence hypothesis and the mindstuff hypothesis. I personally think that the mindstuff hypothesis is pretty close to zero, so the remainder would be in favor of emergence, even if it's wrong. In this case, "emergence" is asserted to be a non-explanation, but this could probably be demonstrated in some way, like sharing likelihood ratios; that might even show that "mindstuff" is an equally vapid explanation for consciousness.