Timnit Gebru's team at Google just published a letter disputing Jeff Dean's version of events. They say the company's publication review policy was applied “unevenly and discriminatorily"
Timnit Gebru’s team at Google is going public with their side of the story theverge.com/2020/12/7/2215…
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"text": "Timnit Gebru\u2019s team at Google is going public with their side of the story theverge.com/2020/12/7/2215\u2026",
"html": "Timnit Gebru\u2019s team at Google is going public with their side of the story <a href=\"https://www.theverge.com/2020/12/7/22158501/timnit-gebru-team-google-public-statement-fired?utm_campaign=theverge&utm_content=chorus&utm_medium=social&utm_source=twitter\">theverge.com/2020/12/7/2215\u2026</a>"
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"url": "https://twitter.com/mapkyca/status/1335982471972851712",
"content": {
"text": "PHP 8 Support on\u00a0Docker marcus-povey.co.uk/2020/12/07/php\u2026",
"html": "PHP 8 Support on\u00a0Docker <a href=\"https://www.marcus-povey.co.uk/2020/12/07/php-8-support-on-docker/\">marcus-povey.co.uk/2020/12/07/php\u2026</a>"
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The waiting game can wear you down during eternal Caturday.
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Do you require convincing that it’s December during eternal Caturday?
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This, except for ppl saying “birb” are the coolest 💖
Twitter is wild because the dumbest people are like “Mayhaps you have slandered me with that ad hominem” and the smartest people are like “my dog is a chonky boi”
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"text": "Twitter is wild because the dumbest people are like \u201cMayhaps you have slandered me with that ad hominem\u201d and the smartest people are like \u201cmy dog is a chonky boi\u201d"
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Some poems
never form
hidden
in fog
weighing heavy
on eyelids
with history
neither sung or
seen
just felt
is cold vapors
of misery
#smallpoems
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"html": "Some poems<br />\n\u00a0\u00a0never form<br />\nhidden<br />\n\u00a0\u00a0in fog<br />\nweighing heavy<br />\n \u00a0\u00a0on eyelids<br />\nwith history<br />\n neither sung or<br />\nseen<br />\n\u00a0\u00a0just felt<br />\nis cold vapors<br />\n\u00a0\u00a0of misery<br /><a href=\"https://quickthoughts.jgregorymcverry.com/tag/smallpoems\" class=\"p-category\">#smallpoems</a>"
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Thank you for being open and honest with your beliefs. Hopefully we can get to a world where disagreement does not equate anger.
Me personally don't do "dominion over earth thing" and believe in a more multispecies view of soul (quickthoughts.jgregorymcverry.com/s/ynFM6)
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"text": "Thank you for being open and honest with your beliefs. Hopefully we can get to a world where disagreement does not equate anger.\n\nMe personally don't do \"dominion over earth thing\" and believe in a more multispecies view of soul (quickthoughts.jgregorymcverry.com/s/ynFM6)",
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Some poems
never form
hidden
in the fog
weighing heavy
on eyelids
with history
neither sung or
seen
just felt
is cold vapors
of misery
#smallpoems (quickthoughts.jgregorymcverry.com/s/WwFdF)
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"text": "Some poems\n\u00a0\u00a0never form\nhidden\n\u00a0\u00a0in the fog\nweighing heavy\n \u00a0\u00a0on eyelids\nwith history\n neither sung or\nseen\n\u00a0\u00a0just felt\nis cold vapors\n\u00a0\u00a0of misery\n#smallpoems (quickthoughts.jgregorymcverry.com/s/WwFdF)",
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As the ocean waves of the king take un into the shore,
we give ourselves to the motion.
At the banquet where we will be the main dish;
Isaac leans his head down for the blade.
-Rumi
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"text": "As the ocean waves of the king take un into the shore,\nwe give ourselves to the motion.\n\nAt the banquet where we will be the main dish;\nIsaac leans his head down for the blade.\n-Rumi"
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stayed up too late adding #fujinet to a hockey game
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"text": "stayed up too late adding #fujinet to a hockey game",
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"url": "https://cathieleblanc.com/2020/12/06/data-analytics-and-the-science-of-learning/",
"published": "2020-12-06T20:06:25-05:00",
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"html": "<p>Now that this shortened, very challenging Fall 2020 semester is over, I have started thinking about January followed by the Spring 2021 semester. As I posted <a href=\"https://cathieleblanc.com/2020/10/12/data-analytics-learning-community/\">back in October</a>, we received a grant from the <a href=\"https://nebigdatahub.org/\">Northeast Big Data Hub</a> to create a Data Analytics Learning Community (DALC). The grant provides stipends for 5 steering committee members to facilitate and plan activities for the DALC as well as stipends for 10 faculty members to participate in the learning community. We had 15 applications for the 10 stipends and several of the people who were not chosen to receive the stipends have indicated that they would like to participate anyway. The DALC kicks off with a weeklong workshop in January.</p>\n<p>From the grant application: \u201cThe goal of the workshop will be to build faculty sense of competence, autonomy, and relatedness so that they feel able to effectively engage students in classroom activities that move beyond the traditional lecture and into the realm of using data science projects in the classroom.\u201d In other words, the January workshop will teach faculty about data analytics but we will also have lots of conversations about using the principles of what we know about how people learn to help faculty plan activities that will fully engage their students. We have a model for faculty professional development in the <a href=\"https://cathieleblanc.com/2020/01/30/end-of-year-report/\">Cluster Pedagogy Learning Community (CPLC)</a> that has been running on our campus for a year and a half. In particular, we engage faculty in the CPLC using strategies, techniques, tools, etc. that we think they could use in their own classes. We use all of the ideas for how faculty can engage with students in their classes in the CPLC so faculty can experience that engagement as learners. We will use a similar strategy for the DALC.</p>\n<p>In doing research about the principles of the science of learning, I encountered two resources that I found particularly interesting for our planning.</p>\n<p>The first is about strategies for professional development for teaching of middle school science. The <a href=\"https://onlinelibrary.wiley.com/doi/abs/10.1002/tea.21605\">2019 article</a> describes a study that compared the student learning outcomes resulting from 2 different approaches to teacher professional development. (As an aside, I have full access to this article because I work at a University that provides such access. The article is otherwise behind a paywall owned by Wiley which makes it inaccessible to many people who would benefit from its results.) From the abstract: \u201cNinety schools were randomly assigned into one of three arms: (a) a treatment arm in which the textbook curriculum was modified based on four principles of cognitive science coupled with teacher professional development (PD), (b) a second treatment arm in which teachers received PD designed to improve their knowledge of the science content, and (c) a business\u2010as\u2010usual control group.\u201d</p>\n<p>In particular, the professional development for the cognitive science group focused on helping teachers figure out how to apply 4 known principles of learning to the science content: 1. case comparisons to identify similarities and differences that illustrate abstract concepts; 2. visualization and diagrammatic reasoning related to communication of scientific concepts; 3. spaced testing that revisits previous learning; and, 4. a focus on connecting new knowledge with prior knowledge while also addressing misconceptions about that prior knowledge. The professional development for the content knowledge group focused solely on increasing individual teachers\u2019 knowledge of the science content they would be teaching. The control group did not receive any professional development related to the teaching of science.</p>\n<p>The random assignment of teachers to three arms of professional development just happened to result in a skewing related to teaching experience of the teachers. The cognitive science group had an average of 7.5 years of teaching experience while the other two groups had an average of 15 years of teaching experience. Such variations sometimes happen with randomness.</p>\n<p>The authors measured two outcomes: 1. science knowledge of the teachers, and, 2. science knowledge of the students. They found that the science knowledge of the teachers mostly had little variation regardless of the professional development arm they participated in. The science knowledge of the students (as measured by end-of-unit tests as well as state standardized tests), however, was significantly increased when their teacher had engaged in the professional development using the science of learning principles, despite the fact that those teachers had on average half the teaching experience of the other two groups. Interestingly, the science knowledge of the students whose teachers had participated in the professional development that increased their content knowledge was lower than the science knowledge of the control group. In other words, it appears that professional development that focuses solely on teachers\u2019 knowledge of the science content actually harmed the learning of the students of those teachers. The researchers also note that the teachers who received professional development related to cognitive science and learning were able to transfer their skills to the teaching of scientific concepts other than the ones the encountered in the professional development.</p>\n<p>I think these findings support the idea that if a goal of our learning community is to help faculty become better teachers of data analytics content, we should focus on helping them develop pedagogical skills that incorporate the principles of the science of learning.</p>\n<p>The second resource is a highly cited <a href=\"https://deansforimpact.org/wp-content/uploads/2016/12/The_Science_of_Learning.pdf\">document from <em>Deans for Impact</em></a> that summarizes the existing research from cognitive science related to how students learn, and, most importantly, connects this research to its practical implications for teaching and learning. The document is full of interesting principles related to learning along with ideas for how teachers can put those principles to use in their classrooms. There is also a substantial works cited section that provides additional background about all of the principles. As we think about the January workshop and the resulting DALC, we will want to model the principles in the design of the professional development. The particular principles that I think it will be critical for us to model are:</p>\n\n<ul><li>Students learn new ideas by reference to ideas they already know.</li>\n<li>Students have limited working memory capacities that can be overwhelmed by tasks that are cognitively too demanding. Understanding new ideas can be impeded if students are confronted with too much information at once.</li>\n<li>Information is often withdrawn from memory just as it went in. We usually want students to remember what information means and why it is important, so they should think about meaning when they encounter to-be-remembered material.</li>\n<li>The transfer of knowledge or skills to a novel problem requires both knowledge of the problem\u2019s context and a deep understanding of the problem\u2019s underlying structure.</li>\n<li>We understand new ideas via examples, but it\u2019s often hard to see the unifying underlying concepts in different examples.</li>\n</ul><p>As I said, the document contains ideas about how to incorporate these principles into teaching and so we will use those ideas in the development of activities and discussions for the DALC.</p>\n<p>I am looking forward to learning with the DALC and to seeing more data analytics content taught on our campus. If there is anyone from PSU who would like to participate in the DALC (without a stipend), please feel free to contact me.</p>\n<p>Image Credit: I took this photo on November 28, 2020. To me, it looks like a visual representation of trying to make sense of a bunch of data.</p>",
"text": "Now that this shortened, very challenging Fall 2020 semester is over, I have started thinking about January followed by the Spring 2021 semester. As I posted back in October, we received a grant from the Northeast Big Data Hub to create a Data Analytics Learning Community (DALC). The grant provides stipends for 5 steering committee members to facilitate and plan activities for the DALC as well as stipends for 10 faculty members to participate in the learning community. We had 15 applications for the 10 stipends and several of the people who were not chosen to receive the stipends have indicated that they would like to participate anyway. The DALC kicks off with a weeklong workshop in January.\nFrom the grant application: \u201cThe goal of the workshop will be to build faculty sense of competence, autonomy, and relatedness so that they feel able to effectively engage students in classroom activities that move beyond the traditional lecture and into the realm of using data science projects in the classroom.\u201d In other words, the January workshop will teach faculty about data analytics but we will also have lots of conversations about using the principles of what we know about how people learn to help faculty plan activities that will fully engage their students. We have a model for faculty professional development in the Cluster Pedagogy Learning Community (CPLC) that has been running on our campus for a year and a half. In particular, we engage faculty in the CPLC using strategies, techniques, tools, etc. that we think they could use in their own classes. We use all of the ideas for how faculty can engage with students in their classes in the CPLC so faculty can experience that engagement as learners. We will use a similar strategy for the DALC.\nIn doing research about the principles of the science of learning, I encountered two resources that I found particularly interesting for our planning.\nThe first is about strategies for professional development for teaching of middle school science. The 2019 article describes a study that compared the student learning outcomes resulting from 2 different approaches to teacher professional development. (As an aside, I have full access to this article because I work at a University that provides such access. The article is otherwise behind a paywall owned by Wiley which makes it inaccessible to many people who would benefit from its results.) From the abstract: \u201cNinety schools were randomly assigned into one of three arms: (a) a treatment arm in which the textbook curriculum was modified based on four principles of cognitive science coupled with teacher professional development (PD), (b) a second treatment arm in which teachers received PD designed to improve their knowledge of the science content, and (c) a business\u2010as\u2010usual control group.\u201d\nIn particular, the professional development for the cognitive science group focused on helping teachers figure out how to apply 4 known principles of learning to the science content: 1. case comparisons to identify similarities and differences that illustrate abstract concepts; 2. visualization and diagrammatic reasoning related to communication of scientific concepts; 3. spaced testing that revisits previous learning; and, 4. a focus on connecting new knowledge with prior knowledge while also addressing misconceptions about that prior knowledge. The professional development for the content knowledge group focused solely on increasing individual teachers\u2019 knowledge of the science content they would be teaching. The control group did not receive any professional development related to the teaching of science.\nThe random assignment of teachers to three arms of professional development just happened to result in a skewing related to teaching experience of the teachers. The cognitive science group had an average of 7.5 years of teaching experience while the other two groups had an average of 15 years of teaching experience. Such variations sometimes happen with randomness.\nThe authors measured two outcomes: 1. science knowledge of the teachers, and, 2. science knowledge of the students. They found that the science knowledge of the teachers mostly had little variation regardless of the professional development arm they participated in. The science knowledge of the students (as measured by end-of-unit tests as well as state standardized tests), however, was significantly increased when their teacher had engaged in the professional development using the science of learning principles, despite the fact that those teachers had on average half the teaching experience of the other two groups. Interestingly, the science knowledge of the students whose teachers had participated in the professional development that increased their content knowledge was lower than the science knowledge of the control group. In other words, it appears that professional development that focuses solely on teachers\u2019 knowledge of the science content actually harmed the learning of the students of those teachers. The researchers also note that the teachers who received professional development related to cognitive science and learning were able to transfer their skills to the teaching of scientific concepts other than the ones the encountered in the professional development.\nI think these findings support the idea that if a goal of our learning community is to help faculty become better teachers of data analytics content, we should focus on helping them develop pedagogical skills that incorporate the principles of the science of learning.\nThe second resource is a highly cited document from Deans for Impact that summarizes the existing research from cognitive science related to how students learn, and, most importantly, connects this research to its practical implications for teaching and learning. The document is full of interesting principles related to learning along with ideas for how teachers can put those principles to use in their classrooms. There is also a substantial works cited section that provides additional background about all of the principles. As we think about the January workshop and the resulting DALC, we will want to model the principles in the design of the professional development. The particular principles that I think it will be critical for us to model are:\n\nStudents learn new ideas by reference to ideas they already know.\nStudents have limited working memory capacities that can be overwhelmed by tasks that are cognitively too demanding. Understanding new ideas can be impeded if students are confronted with too much information at once.\nInformation is often withdrawn from memory just as it went in. We usually want students to remember what information means and why it is important, so they should think about meaning when they encounter to-be-remembered material.\nThe transfer of knowledge or skills to a novel problem requires both knowledge of the problem\u2019s context and a deep understanding of the problem\u2019s underlying structure.\nWe understand new ideas via examples, but it\u2019s often hard to see the unifying underlying concepts in different examples.\nAs I said, the document contains ideas about how to incorporate these principles into teaching and so we will use those ideas in the development of activities and discussions for the DALC.\nI am looking forward to learning with the DALC and to seeing more data analytics content taught on our campus. If there is anyone from PSU who would like to participate in the DALC (without a stipend), please feel free to contact me.\nImage Credit: I took this photo on November 28, 2020. To me, it looks like a visual representation of trying to make sense of a bunch of data."
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One year ago, when i was just casually skating in an indoor mall with fake snow after my barista job. Does not seem like the same reality.
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"text": "One year ago, when i was just casually skating in an indoor mall with fake snow after my barista job. Does not seem like the same reality."
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Marv Throneberry. Ed Kranepool.
Age yourself with an athlete.
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Notre Dame should never have been allowed to play in the ACC this season without becoming a full member.
Also, Brian Kelly and Dabo are both gross.
Forde-Yard Dash, First Quarter: The ACC has manipulated its schedule to in favor of its top teams. The Big Ten may do the same. If they're playing favorites, should we al...
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"text": "Forde-Yard Dash, First Quarter: The ACC has manipulated its schedule to in favor of its top teams. The Big Ten may do the same. If they're playing favorites, should we also be worried about the officiating in the league title games? bit.ly/2Iiwiq7",
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Hey #writingcommunity I know folks been buggin me. Just got through a backlog of recording and added 13 poems to #poembox my boombox of bad #poetry https://jgregorymcverry.com/mypoetry#audiopoems subscribe with @pocketcast https://pca.st/8suh4x3o
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On #sundayHaiku
Can never find syllables
Try again next week
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Age yourself with a store. I’ll go first: RADIOSHACK.
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Hey #writingcommunity I know folks been buggin me. Just got through a backlog of recording and added 13 poems to #poembox my boombox of bad #poetry jgregorymcverry.com/mypoetry#audio… subscribe with @pocketcast pca.st/8suh4x3o (quickthoughts.jgregorymcverry.com/s/1ykQqW)
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"text": "Hey #writingcommunity I know folks been buggin me. Just got through a backlog of recording and added 13 poems to #poembox my boombox of bad #poetry jgregorymcverry.com/mypoetry#audio\u2026 subscribe with @pocketcast pca.st/8suh4x3o (quickthoughts.jgregorymcverry.com/s/1ykQqW)",
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I'm surprised it took Rudy this long to contract COVID-19. This man is despicable and yet the good person in me still wishes him well.
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