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Full-Text Articles in Philosophy of Science

The Scope Of Inductive Risk, P.D. Magnus Jan 2022

The Scope Of Inductive Risk, P.D. Magnus

Philosophy Faculty Scholarship

The Argument from Inductive Risk (AIR) is taken to show that values are inevitably involved in making judgements or forming beliefs. After reviewing this conclusion, I pose cases which are prima facie counterexamples: the unreflective application of conventions, use of black-boxed instruments, reliance on opaque algorithms, and unskilled observation reports. These cases are counterexamples to the AIR posed in ethical terms as a matter of personal values. Nevertheless, it need not be understood in those terms. The values which load a theory choice may be those of institutions or past actors. This means that the challenge of responsibly handling inductive …


Cautious Realism And Middle Range Ontology, P.D. Magnus Nov 2018

Cautious Realism And Middle Range Ontology, P.D. Magnus

Philosophy Faculty Scholarship

Anjan Chakravartty's book Scientific Ontology is centrally about how metaphysics is embrangled with epistemology. I begin by discussing the broader literature in science and values, where arguments akin to Chakravartty's have been much-discussed. Then I talk about my own preferred approach, middle range ontology, which does not fit neatly into any of the three stances Chakravartty discusses. Finally, I use these considerations to pose a dilemma.


State Of The Field: Why Novel Prediction Matters, P.D. Magnus, Heather Douglas Dec 2013

State Of The Field: Why Novel Prediction Matters, P.D. Magnus, Heather Douglas

Philosophy Faculty Scholarship

It has become commonplace to say that novel predictive success is not epistemically special. Its value over accommodation, if it has any, is taken to be superficial or derivative. We argue that the value of predictive success is indeed instrumental. Nevertheless, it is a powerful instrument that provides significant epistemic assurances at many different levels. Even though these assurances are in principle dispensable, real science is rarely (if ever) in the position to confidently obtain them in other ways. So we argue for a pluralist instrumental predictivism: novel predictive success is important for inferences from data to phenomena, from phenomena …