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Penn State's student government is pushing for more of a student voice on the university's board of trustees. Last year, Gov. Tom Wolf broke with a 43-year tradition by not appointing a student trustee, according to the University Park Undergraduate Association. Now, UPUA is advocating for Wolf to choose a student as one of his two 2018 appointed trustees through an organizational-wide letter writing campaign and social media push. 'In order to ensure a better tomorrow for the university, it is vital that a student perspective is not only heard, but sought out,' UPUA Vice President Laura McKinney said in an email. There is a student trustee on the board now, a position codified by the board in 2014, according to Penn State spokeswoman Lisa Powers. Penn State's board has 36 voting members and three nonvoting members (of which the governor is one).
There are six total governor-appointed trustees, and two new ones are appointed each year. 'It is important to have additional student representation on the board of trustees to best convey issues that we face each day,' Cody Heaton, UPUA president, said in an email.
Castells the internet galaxy pdf compressor. 'The board of trustees loses an important opinion and voice when a student is not appointed by the governor.' Nominations for Penn State's board are made in consultation with the Pa.
Senate, where all nominees need to be confirmed, J.J. Abbott, Wolf's press secretary, said in an email. He said Wolf believes student representation is important on the board, and he's open to appointing another student trustee in the future if the Senate would agree to it. 'Pennsylvania governors have made thoughtful appointments in the past and there is no reason to believe that future appointments would be any different,' Powers said in an email.
Perspective is an API that uses machine learning to spot abuse and harassment online. Perspective scores comments based on the perceived impact a comment might have on a conversation, which publishers can use to give real-time feedback to commenters, help moderators sort comments more effectively, or allow readers to more easily find relevant information. We’ll be releasing more machine learning models later in the year, but our first model identifies whether a comment could be perceived as 'toxic' to a discussion.