Consider a population where the variance of an estimator is being studied. If we use the jackknife method to estimate the variance of a statistic $\hat{\theta}$, and the jackknife estimate is $v_{jack} = \frac{n-1}{n} \sum_{i=1}^{n} (\hat{\theta}_{(i)} - \hat{\theta}_{(\cdot)})^2$, what does the term $\hat{\theta}_{(i)}$ represent?