How to interpret the expected value of the pdf of a random variable?

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Suppose we have a random variable $X: \Omega \to \mathcal{X}$, with pdf $f_X$. It is clear that the expectation of any function of $X$, say $g(X)$, is

$$E[g(X)] = \int_{x \in \mathcal{X}}g(x)f_X(x)dx$$

Suppose we wish to take the expectation of the random variable $f_X(X)$, (in other words, what value the pdf will take in expectation), such that

$$E[f_X(X)] = \int_{x \in \mathcal{X}}f_X(x)f_X(x)dx = \int_{x \in \mathcal{X}}f^2_X(x)dx$$

Does this expectation have any meaningful interpretation?