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Research by Professor McDaniel Finds Trump Campaign Benefited from Increase in Racial Animus
THE NEW YORK TIMES -- In the United States, Sean McElwee, a policy analyst at the liberal think-tank Demos, and Jason McDaniel, a professor of Political Science at San Francisco State University, examined data from American National Election Studies and reported in The Nation that:

“Trump accelerated a realignment in the electorate around racism, across several different measures of racial animus — and that it helped him win. By contrast, we found little evidence to suggest individual economic distress benefited Trump. The American political system is sorting so that racial progressivism and economic progressivism are aligned in the Democratic party and racial conservatism and economic conservatism are aligned in the Republican party.

“In their essay, McElwee and McDaniel graphed data documenting their findings, which is reproduced in the accompanying chart. White voters who supported Trump were decidedly strong on measures of anti-black affect and hostility to the integration of immigrants into the population of the United States.”
plsi  faculty  research  national  metrics 
yesterday by sfstatelca
Lecturer Josh Green: First Amendment Means Something Else to Millennials
SAN JOSE MERCURY NEWS -- Josh Green teaches American politics at San Francisco State University. He wrote this op-ed about millennials’ attitudes toward the First Amendment and people expressing dissenting viewpoints.

“Over the last few years a chilling fact has become clear to me as a teacher of American politics.

“Our high school students, who are taught to be tolerant of their fellow students regardless of skin color or class, do not understand a basic tenet of the First Amendment: Mean people get to speak.

“By teaching our children tolerance when they are in school, we might also teach them not to be tolerant of hateful people. But there’s the rub: tolerance of speech applies to everyone, not the ones who we decide deserve it.”
plsi  faculty  regional  metrics 
2 days ago by sfstatelca
eCommerce Insights
Round up of 10 key ecommerce metrics 
metrics  e-commerce 
3 days ago by arj197
Unified Logs and Metrics by Sumo Logic
Sumo Logic Unified Logs and Metrics. Analyze, Correlate and Monitor All Your Machine Data Natively. Unified platform for all your log and metrics. Analyze all data in real-time with machine learning, perform root-cause analysis, and monitor apps and infrastructure in real-time. See Advanced Analytics for Logs & Metrics in Action! In this demo, you’ll see a new way to troubleshoot modern applications using advanced analytics that contextually correlate logs and time-series metrics. At a glance, metrics graphs can help them visualize quickly where the issue lies and then they can drill down contextually into the specific logs to surface the needle in the haystack.
mobile  performance  logging  cloud  metrics  newrelic  loggly  papertrail 
4 days ago by dlkinney
Earning My Turns: A (computational) linguistic farce in three acts
"One curious byproduct of the empiricist ascendancy that is relevant to the present conflict is that measurement became a virtue in itself, sometimes quite independently of what was really being measured. Many empiricist true believers just want the numbers, regardless of whether they correspond to anything relevant to actual language structure and use. [...] In summary, a certain metric fetishism arose that still prevails today for instance in conference reviewing, with the result that interesting models and observations are dismissed unless they improve one of the blessed metrics. Metrics became publishing gatekeepers, easy to apply without thinking, and promoting a kind of p-hacking culture that demeaned explanation and error analysis. Worst, for a practitioner, was that all the metrics are averages, when large deviations is what really matters if you are responsible for a product that should have very low chance of doing something really bad.

[...]

Idea! Let's go back to toy problems where we can create the test conditions easily, like the rationalists did back then (even if we don't realize we are imitating them). After all, Atari is not real life, but it still demonstrates remarkable RL progress. Let's make the Ataris of natural language!

But now the rationalists converted to empiricism (with the extra enthusiasm of the convert) complain bitterly. Not fair, Atari is not real life!

Of course it is not. But neither is PTB, nor any of the standard empiricist tasks, which try strenuously to imitate wild language (their funding depends on it!) but really fail, as Harris predicted back in the 1950s. Or even the best of descriptive linguistics, which leaves in the murk all those messy deviations from the nice combinatorics of the descriptive model. "
nlp  fernando-pereira  deep-learning  history  rationalism  empiricism  metrics  research  evaluation 
4 days ago by arsyed

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