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Lord of the Rankings - Coggle Diagram
Lord of the Rankings
Malcolm Gladwell (speaker)
Methodology vs. Mythology
Reveals the Reed college discovery (see occasion)
reveals possible bias with the ranking system and the peer evaluation survey by talking to someone at US World News
talks to head of admission at univeristies; talks about how they know little about other colleges; "more qualified to vote on hall of fame then other schools; had a hard time ranking other colleges couldn't they didn't know about; they disagreed and had different experiences; repetition of bias to convince audience that the system is biased
talks to head of US world news, a lot of people have said they rank repetition is off of previous years rankings; is it circular; "not the expectation"
President of Rowans University makes hot sauce and sends it to other universities to boost the views on him and in turn the school;
Bill Mayu hears rumor that its hard for black colleges to sell bonds and get loans to benefit their students
They've given a scientifically rigorous measurement of just how much of a burden black institutions face
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Walter Kimbraugh, president of Dillard University (HBCU historically black college/ universities)
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shows obsuritity of the system; president has resorted to sending hot sauce so people know who they are (
structure)
hadn't done any social science research
repetition
of bias to convince audience that the system is biased
peer evaluation score
: based on view of score for undergraduate quality; can't be sure its honest; heaviest weight
what level of bias? appeals to
pathos
ethos
: based on knowledge/ feels of leaders in higher education
"How is it that a promotional gimmick from the 1980s turned into a fetish object for American higher education?"
Why do people take them so seriously?
Diction
(promotional gimmick, fetish object)
1980s, time mag, Newsweek, US news
College ranking process extremely important
Reed college team recreates algorithm; trying to predict a schools ranking
Reed college the only school that didn't line up with their algorithm; are they being punished for not submitting data?
Ethos
: statistics practicum course/ data
Logos
: college "hackers" algorithm
Pathos
: curiosity, fairness, big guy vs. little guy
has a mocking tone to demonstrate the ridiculousness of the algorithm
tone