It's hard to interpret these sorts unless you're comparing the *same* correlation. eg the correlation!=causation literature finds that the average effect sizes of correlation & randomized are the same, on average. The problem is that *pairs* might be different signed even...
Meta analysis finds that average correlation size in published and unpublished/dissertation matrices are the same. Sounds like maybe this is just showing that both have similar sample sizes which results in non-zero values? 
https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1744-6570.2012.01243.x …pic.twitter.com/HHi7UObjuE
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