We normally think that the content of judgments are dictated by the content of the concepts used inside of them. This feels especially right for artificial languages:
Take “If it’s a \(P\), then it’s a \(Q\).”
Or, logically: \(\forall x, P(x)\implies Q(x)\)
The meaning of this statement seems to depend on what concepts \(P\) and \(Q\) we substitute in. E.g. with \(P \mapsto {\rm red\ thing},\ Q \mapsto {\rm colored\ thing}\), it’s a good a judgment, whereas \(Q \mapsto {\rm rectangular\ thing}\) would no longer be a good judgment.
However, Kant turned this around (see here). In this view, judgments are prior (in the order of understanding) to concepts.
This is also related to a switch of priority made by Sellars: we normally think of logically-valid inferences (e.g. \(A \land B \implies B \lor C\)) as something we understand prior to particular inferences (e.g. “If it’s red and triangular, then it’s triangular or heavy”). Sellars calls these particular inferences material_inferences and argues that it is only through understanding them that we could understand logically-valid inferences.
One argument for our initial intuition is that the logically-valid inferences are a priori, whereas the particular inferences are a posteriori.1 However, Achilles and the Tortoise feels relevant for arguing against this point of view: the logically-valid inferences exist a priori as abstract mathematical/syntactical objects, but without any practical experience of actually making inferential moves, we don’t have access to them qua inferences.
The words priori and posteriori literally make the order clear.↩︎