Who's Downloading Pirated Scientifc Papers? Everyone (sciencemag.org)
sciencehabit quotes a report from Science Magazine: In increasing numbers, researchers around the world are turning to Sci-Hub, the controversial website that hosts 50 million pirated papers and counting. Now, with server log data from Alexandra Elbakyan, the neuroscientist who created Sci-Hub in 2011 as a 22-year-old graduate student in Kazakhstan, Science addresses some basic questions: Who are Sci-Hub's users, where are they, and what are they reading? The Sci-Hub data provide the first detailed view of what is becoming the world's de facto open-access research library. Among the revelations that may surprise both fans and foes alike: Sci-Hub users are not limited to the developing world. Some critics of Sci-Hub have complained that many users can access the same papers through their libraries but turn to Sci-Hub instead -- for convenience rather than necessity. The data provide some support for that claim. Over the 6 months leading up to March, Sci-Hub served up 28 million documents, with Iran, China, India, Russia, and the United States the leading requestors.
Isn't the idea that you can pirate scientific papers sort of anti-knowledge?
For every scientific paper you pirate and share. It's bullshit to keep that stuff behind paywalls.
I also applaud everyone that finds a way to pirate college textbooks and share them.
Do not look at laser with remaining good eye.
"... Downloading Pirated Scientifc [sic] Papers"??
You mean:
"Freeing scientific papers that were being held hostage"
How much of this is because when someone googles the relevant terms it shows them Sci-Hub results and not their local restricted library? I.e., how may people are deliberately pirating papers versus being counted as pirates because that's where Google took them to?
" theft of the Universities' resources and theft of the online resource material."
No, the thief here is the journal that grabbed the researchers' IP not only without compensation, but made them pay to do it. Plantation slaves had a better deal than that. Getting the papers to Sci-hub is the most moral way for the researcher to benefit most from his intellectual property.
I'm not part of academia, but I like reading CS papers for my own intellectual stimulation. I regularly go through the latest on arxiv, but some times you want to follow some references to older stuff, and that's when you end up having to reach out to Jacobson because you can't find a copy of his seminal paper, etc.
You're right, I'm a nobody, but that also means no one is really losing anything when I read these papers. I would never pay for a paper anyhow, it's just not going to happen. I'm also not directly using results in my work (which quite frankly is too mundane for most of the stuff I'm interested in).
I haven't used scihub, but I wouldn't hesitate to do it.
I'm living in a small, comparatively poor country in Europe, and I'm a scientist, so let me explain the situation to you.
Via expensive subscriptions we have access to a constantly and seemingly randomly changing selection of journals at our institute. Sometimes I can just download what I need "for free" (free for me, it still costs the tax payer a lot of money, of course), another time I cannot access it. Anything that falls on the borderline to neighbouring disciplines I cannot access - which happens to be a lot in my field, because my work is very cross-disciplinary. The situation is way worse in even poorer countries, e.g. in developing nations, or in those where politicians in charge simply do not understand the nature of scientific work and cut money in the wrong places.
In a nutshell, rich universities in rich countries already have many advantages, and without sites like sci-hub many research institutions in the poorer parts of the world could just as well close down.
Your post is jaw-droppingly ignorant.
....
Just about every computer scientist is unaffiliated with any institution that pays the extortion for access to these papers, covering a wide range of topics such as artificial intelligence, data compression, image processing, graph theory, statistical analysis,
Your seem to be amazed that I might want to see the 1977 Frei and Chen paper on a complete set of basic functions for both line and edge detection in images. You seem to think that I would be satisfied with the commonly used but inferior Sobel or Prewit operators which dont distinguish between lines and edges and so forth.
There is a reason that almost nobody uses the Frei and Chen's masks even though its superior.. and it has everything to do with access.
"His name was James Damore."
On one hand, as a researcher you want to explore and document new and interesting/amazing things while being able to share those things with the world. On the other, you want to be seen as reputable so you look to publish your paper with a "known good" journal in your field, while avoiding those "crap science printing press" publications that are known for just throwing anything through the printer.
It seems to me that sharing the knowledge as widely as possible is much like just pushing it through the crap science press, the opposite of getting into an established journal. Is the problem that those established journals are just greedy bastards? Or is the problem that there is no other way to separate the wheat from the chaff?