orientation
Orientation is the abstract version of handedness: the choice between a right-handed and a left-handed coordinate frame. In the plane it is clockwise versus counterclockwise; in space it is the right-hand rule versus its mirror image. A real vector space of dimension at least one has exactly two orientations, and choosing one is choosing which ordered bases count as 'positively' arranged.
The determinant is the bookkeeper of orientation. Two ordered bases give the same orientation precisely when the change-of-basis matrix between them has positive determinant; a negative determinant means they have opposite handedness. Equivalently, a linear map T preserves orientation when det(T) > 0 and reverses it when det(T) < 0. The SIGN of the determinant carries this entire qualitative content, separate from the magnitude (the volume scaling).
This matters wherever 'flipping' is meaningful. A reflection has determinant -1 (it reverses handedness) while a rotation has determinant +1 (it preserves it); that is why rotations form the special orthogonal group SO(n) of determinant-1 orthogonal matrices. In calculus, the sign of a Jacobian tells you whether a change of variables preserves or flips orientation, which controls the sign in Stokes-type integral theorems.
Caveat: orientation is a real-number phenomenon. Over the complex numbers det can be any nonzero complex value, with no notion of 'positive', so complex vector spaces have no two-way orientation in this sense (the nonzero complex scalars are connected). Also, magnitude and sign are independent jobs: |det| measures stretching, sign(det) measures flipping; a map can do either, both, or neither.
Sign of det reads off whether a map keeps or flips orientation.
The invertible real matrices GL(n, R) split into two connected pieces — positive-determinant and negative-determinant — and you cannot travel continuously from one to the other without passing through a singular (det = 0) matrix.