2 ms·
It definitely feels a little odd. If everyone is an author, then does authorship really matter? Is authorship broken out in any way? I would think it could be
by Bedon292 4y ago
It definitely feels a little odd. If everyone is an author, then does authorship really matter?
Is authorship broken out in any way? I would think it could be useful to do something like credits on a movie. Here are the writers, the directors, the producers. And then here is the lighting team, and this team worked on these special effects, this other team on these other effects, etc.
- SiempreViernes 4y agoOften the core team gets to be the corresponding authors.
- dguest 4y agoTo answer your second question: no. On a few of the biggest experiments the author list is completely flat and alphabetical. From outside the collaborations there's no way to know who actually wrote the paper or did any of the work described therein. The best argument to keep it this way is that fewer people fight about who gets credit. But anyone with internal access and a bit of experience knows where to look. If you want to verify someone's contribution from the outside, you just have to find one of the other 3000 authors and ask them to do some sleuthing. Personally I'd answer "no" to your first question too, but that's a bit more subjective and depends on the funding agency. Particle physicists have, for better or worse, thrown a wrench into the whole idea of authorship metrics, but they did so in a way that would benefit them by default: if the funding agency has a publication quota, everyone passes! Of course this causes a few problems: - If your funding agency hasn't caught on and you aren't in particle physics, you are effectively being cheated out of a better ranking. - Many agencies are now disqualifying publications with over 1000 authors, in which case particle physicists get zero publications. To deal with the second case, it's actually quite common to see smaller groups of scientists from these collaborations writing papers using their own simulated data, as a way to get publications with fewer authors. I would definitely count myself in the group that considers this situation absurd, but that's where we are.