Starting in July, philosophy’s two most prestigious journals won’t reject submitted papers anymore. Instead they’ll “grade” every submission, assigning a rating on the familiar letter-grade scale (A+, A, A-, B+, B, B-, etc.). They will, in effect, become ratings agencies. They’ll still publish papers. Those rated A- or higher can be published in the journal, if the authors want. Or they can seek another venue, if they think they can do better.... Read more

Last time we took Brier distance beyond two dimensions. We showed that it’s “proper” in any finite number of dimensions. Today we’ll show that Euclidean distance is “improper” in any finite number dimensions. When I first sat down to write this post, I had in mind a straightforward generalization of our previous result for Euclidean distance in two dimensions. And I figured it would be easy to prove. Not so.... Read more

We’ve all been there. One referee is positive, the other negative, and the editor decides to reject the submission. I’ve heard it said editors tend to be conservative given the recommendations of their referees. And that jibes with my experience as an author. So is there anything to it—is “editorial gravity” a real thing? And if it is, how strong is its pull? Is there some magic function editors use to compute their decision based on the referees’ recommendations?... Read more

We looked at author gender in a previous post, today let’s consider referees. Does their gender have any predictive value? Once again our discussion only covers men and women because we don’t have the data to support a deeper analysis.1 Using data from Ergo, we’ll consider the following questions: Requests. How are requests to referee distributed between men and women? Are men more likely to be invited, for example?... Read more

Spare a thought for Reviewer 2, that much-maligned shade of academe. There’s even a hashtag dedicated to the joke: A rare glimpse of reviewer 2, seen here in their natural habitat pic.twitter.com/lpT1BVhDCX — Aidan McGlynn (@AidanMcGlynn) January 15, 2017 But is it just a joke? Order could easily matter here. Referees invited later weren’t the editor’s first choice, after all. Maybe they’re less competent, less likely to appreciate your brilliant insights as an author.... Read more

Last time we saw why accuracy-mavens prefer Brier distance to Euclidean distance. But we did everything in two dimensions. That’s fine for a coin toss, with only two possibilities. But what if there are three doors and one of them has a prize behind it?? Don’t panic! Today we’re going to verify that Brier distance is still a proper way of measuring inaccuracy, even when there are more than two possibilities.... Read more

Does an author’s gender affect the fate of their submission to an academic journal? It’s a big question, even if we restrict ourselves to philosophy journals. But we can make a start by using Ergo as one data-point. I’ll examine two questions: Question 1: Does gender affect the decision rendered at Ergo? Are men more likely to have their papers accepted, for example? Question 2: Does gender affect time-to-decision at Ergo?... Read more

Last time we saw that Euclidean distance is an “unstable” way of measuring inaccuracy. Given one assignment of probabilities, you’ll expect some other assignment to be more accurate (unless the first assignment is either perfectly certain or perfectly uncertain). That’s why accuraticians don’t use good ol’ Euclidean distance. Instead they use… well, there are lots of alternatives. But the closest thing to a standard one is Brier distance: the square of Euclidean distance.... Read more

In an earlier post we saw that Mondays and Thursdays are good for editors, at least at Ergo. Potential referees say yes more often when invited on these days. But why? Mondays aren’t too puzzling. It’s the start of a new week, so people are fresh, and maybe just a little deluded about how productive the coming week will prove to be. But Thursdays? They don’t seem especially special. I tried speculating a priori about what might be going on there.... Read more

If you’ve bumped into the accuracy framework before, you’ve probably seen a diagram like this one: The vertices $(1,0)$ and $(0,1)$ represent two possibilities, whether a coin lands heads or tails in this example. According to the laws of probability, the probability of heads and of tails must add up to $1$, like $.3 + .7$ or $.5 + .5$. So the diagonal line connecting the two vertices covers all the possible probability assignments… $(0,1)$, $(.... Read more

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