I agree with the authors complaints (I'm not in the same field, but the general complaint holds across disciplines). However the solution really is trivial. The machine learning community solved this problem a decade ago when the editorial board (40 of them) resigned en-mass from the Machine Learning Journal: <a href="http://jmlr.csail.mit.edu/statement.html" rel="nofollow">http://jmlr.csail.mit.edu/statement.html</a> JMLR (<a href="http://jmlr.org" rel="nofollow">http://jmlr.org</a>) is now the premier venue for machine learning publications, and you can visit their home page to see the (non-)restrictions they place on access. They are also very cheap to subscribe to if you prefer dead trees. Any other discipline that really cared about open access could do the same in a heart-beat. The research produced by a discipline is largely consumed by that discipline. If they want to know who is keeping the academic publishing racket alive they just need to look at themselves.