Is the expected value of a standard normal RV to a negative exponent defined?

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For context, the question I am attempting is the following from stochastic calculus: Show whether the stochastic integral is well-defined: $$\int_0^1 |W(t)|^{-1/2} dW(t)$$

where W(t) is standard Brownian Motion. I understand that I have to show it is adapted to a filtration F of Brownian motion, which I've done, and then also that it is square-integrable.

For square-integrability, I got to the integral of the expected value of the function squared equalling: $$2E[|Z|^{-1}]$$ but from here, am not sure how to show that this expectation (i.e. its integral) diverges. The solution tells me the integral is divergent because there is a non-integrable singularity at z=0, however i'm unsure how to show/determine this. I think I'm missing some background knowledge on how to compute expectations of standard normal variables. Any help would be appreciated!