What counts as plagiarism? Harvard president's resignation sparks debate
nature.com
nature.com
How many people read it and see if it was egregious or not?
""They say that Gay, a political scientist, merely summarized the scientific literature in line with the norms of her field, with no bearing on her own scholarship. “The day the plagiarism allegations broke, the response in the hallway was kind of like, ‘Well, I guess we’re all plagiarists,’” says Alvin Tillery, a political scientist at Northwestern University in Evanston, Illinois, who knew Gay during their time as graduate researchers.""
To the best of my knowledge, in my PhD, and the papers I wrote, I never did what she did. If I was going to include an idea from somebody else, it was either very clearly stated how I obtained the info, or I read something, and I completely rewrote it in my own words. This is consistent with how I was taught, from grade school through phd, and with how nearly everybody learns to not plagiarize.
If an undergrad did the same stuff she did, they would be in serious trouble at the very least. Ive seen some academics attempt to minimize this (and others get worried that they made have done the same thing as Gay) but the consensus seems to be that she actively and intentionally plagiarized at the paragraph level.
If there are folks who think they've done the same thing (like Dr. Tillery) they should report themselves to their dean and have an independent (outside the school) analysis to determine whether their work counts as academic fraud.
Beyond that Gay simply did not have the academic record required for a University President and the real mistake was placing her in that role when she was unqualified. Those actions will have dire consequences for the board members who made those decisions.
IMHO Nature is biased; they seem have a strong preference for progressive liberal interpretations of many scientific things. On the other hand I think the article dfoes a fairly good job at representing the various mainstream opinions with an over bias.