Justification of standard error for correlation coefficient with small sample size

#1
Explaining Psychological Statistics, 4th Edition gives the standard error of the correlation coefficient for sample sizes that are "not large" (whatever this should mean exactly) as:

\(\sqrt{\frac{1 - r^2}{n - 2}}\)

Which is nice. But how is it derived exactly?