andrew_gelman_stats andrew_gelman_stats-2013 andrew_gelman_stats-2013-1937 knowledge-graph by maker-knowledge-mining

1937 andrew gelman stats-2013-07-13-Meritocracy rerun


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Introduction: I’ve said it here so often, this time I put it on the sister blog. . . .


Summary: the most important sentenses genereted by tfidf model

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1 I’ve said it here so often, this time I put it on the sister blog. [sent-1, score-1.65]


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Introduction: I’ve said it here so often, this time I put it on the sister blog. . . .

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Introduction: At the sister blog .

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Introduction: From the sister blog, some reasons why the political reaction might be different this time.

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Introduction: I put it on the sister blog so you loyal readers here wouldn’t be distracted by it.

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Introduction: I’ve said it here so often, this time I put it on the sister blog. . . .

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Introduction: I put it at the sister blog so the politics-haters among you could skip it. . . .

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Introduction: Two positions open in the statistics group at the NYU education school. If you get the job, you get to work with Jennifer HIll! One position is a postdoctoral fellowship, and the other is a visiting professorship. The latter position requires “the demonstrated ability to develop a nationally recognized research program,” which seems like a lot to ask for a visiting professor. Do they expect the visiting prof to develop a nationally recognized research program and then leave it there at NYU after the visit is over? In any case, Jennifer and her colleagues are doing excellent work, both applied and methodological, and this seems like a great opportunity.

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Introduction: Tools worth knowing about: Google Refine is a power tool for working with messy data, cleaning it up, transforming it from one format into another, extending it with web services, and linking it to databases like Freebase. A recent discussion on the Polmeth list about the ANES Cumulative File is a setting where I think Refine might help (admittedly 49760×951 is bigger than I’d really like to deal with in the browser with js… but on a subset yes). [I might write this example up later.] Go watch the screencast videos for Refine. Data-entry problems are rampant in stuff we all use — leading or trailing spaces; mixed decimal-indicators; different units or transformations used in the same column; mixed lettercase leading to false duplicates; that’s only the beginning. Refine certainly would help find duplicates, and it counts things for you too. Just counting rows is too much for researchers sometimes (see yesterday’s post )! Refine 2.0 adds some data-collection tools for

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