Hmm, I am not an expert in this area but this seems off. Your general intentions are fine, though I don't think you need to run a t-test. Can you describe the groups and variables in more detail? It seems like you are saying they are the same variables and people, so I am not seeing the distinction between the two r's. And why can you use the same sample to calculate both parameters?

A thousand resamples is usually fine. You can also run say 500, 1000, 5000, and 10000, then see if they all converged to about the same distribution (that is the rule of thumb). If you think about the resampling and then doing a t-test, its outcome can change based on the number of resamples. So you can decrease your standard errors more and more just be taking more resamples. That doesn't seem right to use a your deciding factor.

What is the explicit question you are trying to answer and what is your hypothesis about that question?