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Re: On metrics
- To: liblicense-l@lists.yale.edu, aedlin@bepress.com
- Subject: Re: On metrics
- From: Phil Davis <pmd8@cornell.edu>
- Date: Mon, 22 Oct 2007 21:06:18 EDT
- Reply-to: liblicense-l@lists.yale.edu
- Sender: owner-liblicense-l@lists.yale.edu
Dear Aaron, Thanks for your thoughtful response to the list. COUNTER compliance could in the future require publishers to adhere to filtering out industry-defined lists of robots. But as you rightly described, there are many unregistered robots, and figuring out whether a machine or a human being is behind an IP address is becoming more difficult to do. I'm still a bit confused with the intention of bepres's news release. Is the purpose simply to notify subscribers on your changes and their impact on download statistics? Or is there an intent to push the industry to adapt to a more rigorous (and thus more valid) set of standards? If the latter is the case, this puts bepress in a bit of a dilemma. By publicizing your new filter, you release the blueprint of how one could code the behavior of a robot to actively avoid being filtered. At this point, details are left conspicuously vague [1] and subscribers will just need to take your word that you are attempting to report honest figures. Secondly, it seems that there is an underlying value frame to your arguments. For instance, someone who downloads only one article for the purposes of reading is counted whereas another who downloads a hundred in order to do computational linguistics is not. Humans are valued through their intentionality, but robots are not. Yet robots do provide a real value to potential readers since they actively index and provide entry points for access; or by downloading and caching, robots can provide redundancy and archiving. In sum, deciding what goes into one's filter makes implicit value judgments on what is worth (or not worth) counting. [1] "Remove downloads from unidentifiable RACS, using Bayesian analysis and other heuristics" from: http://www.bepress.com/download_counts.html -- Philip M. Davis PhD Student Department of Communication 336 Kennedy Hall Cornell University, Ithaca, NY 14853 email: pmd8@cornell.edu https://confluence.cornell.edu/display/~pmd8/resume
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