Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
the prior support is finite, long-run ambiguity is known to be a possible outcome only if the learning problem is misspecified (Marinacci and Massari, 2019). We show that if the prior support is naturally rich, long-run ambiguity cannot occur.