1) 🚨BREAKING: Parents file lawsuit against Villa Duchesne High School for "intentional racial discrimination" against white students, and using "coercion, intimidation, and threats" to indoctrinate students into Critical Race Theory.
However, the class where this vent allegedly took place was videotaped, and upon review no such event had occurred.
During a meeting, the principal and a faculty member allowed a black student to aggressively verbally berate the daughter, without intervention.
Faculty told daughter the sticker was racist and "made to crush the BLM movement," and that "simply having that sticker, you should expect to be treated like a racist."
Other faculty insisted that the daughter "declare that she 'felt safe'" and "it was all in her head."
"I'm gonna throw hands on this bitch"
"That bitch needs to get punched in the face"
"She needs to be beaten up"
"I'm sick of that racist bitch—we need to end her"
Instead of protecting the daughter from threats and violence, the school subjected her to more.
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Our preprint on the impact of reopening schools on reproduction number in England is now available online: https://t.co/CpfUGzAJ2S. With @Jarvis_Stats @amyg225 @kerrylmwong @KevinvZandvoort @sbfnk + John Edmunds. NOT YET PEER REVIEWED. 1/
We used contact survey data collected by CoMix (https://t.co/ezbCIOgRa1) to quantify differences in contact patterns during November (Schools open) and January (Schools closed) 'Lockdown periods'. NOT YET PEER REVIEWED 2/
We combined this analysis with estimates of susceptibility and infectiousness of children relative to adults from literature. We also inferred relative susceptibility by fitting R estimates from CoMix to EpiForecasts estimates(https://t.co/6lUM2wK0bn). NOT YET PEER REVIEWED 3/
We estimated that reopening all schools would increase R by between 20% to 90% whereas reopening primary or secondary schools alone would increase R by 10% to 40%, depending on the infectiousness/susceptibility profile we used. NOT YET PEER REVIEWED 4/
Assuming a current R of 0.8 (in line with Govt. estimates: https://t.co/ZZhCe79zC4). Reopening all schools would increase R to between 1.0 and 1.5 and reopening either primary or secondary schools would increase R to between 0.9 and 1.2. NOT YET PEER REVIEWED 5/
We used contact survey data collected by CoMix (https://t.co/ezbCIOgRa1) to quantify differences in contact patterns during November (Schools open) and January (Schools closed) 'Lockdown periods'. NOT YET PEER REVIEWED 2/
We combined this analysis with estimates of susceptibility and infectiousness of children relative to adults from literature. We also inferred relative susceptibility by fitting R estimates from CoMix to EpiForecasts estimates(https://t.co/6lUM2wK0bn). NOT YET PEER REVIEWED 3/
We estimated that reopening all schools would increase R by between 20% to 90% whereas reopening primary or secondary schools alone would increase R by 10% to 40%, depending on the infectiousness/susceptibility profile we used. NOT YET PEER REVIEWED 4/
Assuming a current R of 0.8 (in line with Govt. estimates: https://t.co/ZZhCe79zC4). Reopening all schools would increase R to between 1.0 and 1.5 and reopening either primary or secondary schools would increase R to between 0.9 and 1.2. NOT YET PEER REVIEWED 5/
Last month I presented seven sentences in seven different languages, all written in a form of the Chinese-character script. The challenge was to identify the languages and, if possible, provide a
Here again are those seven sentences:
1) 他的剑从船上掉到河里去
2) 於世𡗉番𧡊哭唭𢆥尼歲㐌外四𨑮
3) 入良沙寢矣見昆腳烏伊四是良羅
4) 佢而家喺邊喥呀
5) 夜久毛多都伊豆毛夜幣賀岐都麻碁微爾夜幣賀岐都久流曾能夜幣賀岐袁
6) 其劍自舟中墜於水
7) 今天愛晚特語兔吃二魚佛午飯
Six of those seven sentences are historically attested. One is not: I invented #7. I’m going to dive into an exploration of that seventh sentence in today’s thread.
Sentence #7 is an English-language sentence written sinographically — that is, using graphs that originate in the Chinese script. I didn’t do this for fun (even though it is fun), or as a proposal for a new way to write
I did it as a thought experiment. Why? Because thinking about how the modern Chinese script might be adapted to write modern English can give us valuable insights into historical instances of script borrowing, like those that took place centuries ago in Japan, Korea, and Vietnam.
\U0001f17b\U0001f130\U0001f17d\U0001f176\U0001f184\U0001f130\U0001f176\U0001f174 \U0001f180\U0001f184\U0001f178\U0001f189
— zev handel (@ZevHandel) December 17, 2020
The following sentences are in seven different languages, all written in Chinese-character script (or a modification of it). Can you identify the languages?
Sentences are in thread.
(1/3)
Here again are those seven sentences:
1) 他的剑从船上掉到河里去
2) 於世𡗉番𧡊哭唭𢆥尼歲㐌外四𨑮
3) 入良沙寢矣見昆腳烏伊四是良羅
4) 佢而家喺邊喥呀
5) 夜久毛多都伊豆毛夜幣賀岐都麻碁微爾夜幣賀岐都久流曾能夜幣賀岐袁
6) 其劍自舟中墜於水
7) 今天愛晚特語兔吃二魚佛午飯
Six of those seven sentences are historically attested. One is not: I invented #7. I’m going to dive into an exploration of that seventh sentence in today’s thread.
Sentence #7 is an English-language sentence written sinographically — that is, using graphs that originate in the Chinese script. I didn’t do this for fun (even though it is fun), or as a proposal for a new way to write
7) \u4eca\u5929\u611b\u665a\u7279\u8a9e\u5154\u5403\u4e8c\u9b5a\u4f5b\u5348\u98ef \u2013 Modern English
— zev handel (@ZevHandel) December 21, 2020
Today I want you to each two fish for lunch.
That this sentence is a written form of English is undeniable, as the sentence is made up entirely of English words following the rules of English grammar. 23/
I did it as a thought experiment. Why? Because thinking about how the modern Chinese script might be adapted to write modern English can give us valuable insights into historical instances of script borrowing, like those that took place centuries ago in Japan, Korea, and Vietnam.
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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.