Follow-up to yesterday’s post. Whew.
Still a concern that someone wrote that script in the first place, but at least it sounds as if that isn’t what’s getting made.
Originally shared by Derrick “Quite Clever” Sanders
Hey, Mike Reeves-McMillan…
http://io9.gizmodo.com/thank-god-the-live-action-mulan-will-have-an-all-chine-1787657434
What.
Originally shared by Gretchen Sher
“The 1998 Disney animated classic focused on Mulan’s transition from being a young girl failing to fit the mold of a perfect daughter and wife to a heroine whose brave acts ultimately save ancient China. Her determination allows her to rise above the gender expectations of her culture and become the one who brings “honor to us all.” Hers is essentially an Asian American tale because it fused Asian characters and culture with a coming-of-age hero’s journey that resonated with American audiences.
So why does the script for the live-action remake feature a white male lead? “
http://blog.angryasianman.com/2016/10/an-open-letter-to-creators-of-disneys.html
Just posted this on FB. We shall see what results.
My dear fellow straight white male Christians who are empathising with women by imagining them as your daughters, wives, sisters or mothers:
Congratulations on making a start.
Can I make a suggestion, though? How about empathising with them simply as fellow human beings?
I assume you don’t have to picture another man as your son, brother, or father in order to empathise with him.
“But I don’t have to do that because other men are like me!”
Yes, exactly.
And once you’ve managed this with women – I have faith in you, you can do it – you could even try doing the same exercise with people of other races or religions or social classes. Fellow human beings.
“But how would I even start?”
Well, you could find a well-written fictional or nonfictional story – book, movie, TV show, whatever medium you prefer – from the point of view of a person you think of as different from you, and look for the common humanity: the desire to be loved, the longing for connection, the fear of rejection, the loyalty to family or people who are like family (which is where we started, after all), the courage and perseverance in the face of life’s struggles. Maybe post on your timeline and ask for recommendations.
Are you up for it?
You’ll see why this is in my Diversity and Representation collection in a minute.
It’s puzzled me why, of all the many reprehensible things Trump has said, this latest one has finally led a lot of his “insider” supporters to distance themselves and even call for him to step down. The only thing I could figure out is that all of the other things are either things they could imagine saying themselves (if more subtly), or things they wish they could say, but know better than to say where anyone can hear.
This opinion piece takes a slightly different, but compatible angle: that this latest revelation is disrespect of members of a less-empowered group that a) were still, on the whole, planning to vote for Trump, and b) that are still considered bad form to attack even among Republicans: (straight) white women.
It’s kind of the reverse of the famous “first they came for the Communists” litany. Trump has systematically disrespected group after group, but has finally been revealed to have blatantly disrespected a group that his putative colleagues actually care about, both as people and as voters. And to have disrespected them as a group, not just individually (as he did with Megyn Kelly early in his primary campaign).
I was astonished to read elsewhere that he’s even apologised and said he was wrong, though he couldn’t restrain himself from adding riders that reduced the impact of the apology. Normally, he doesn’t ever admit he was wrong (sometimes denying that he said things he clearly said). However, if the linguistics article that was being shared around recently is right, this is just another example of saying whatever will achieve his goals, rather than an authentic apology and an actual realisation of wrongdoing. And a month is a very short period of time in which to prove that theory mistaken by his actions.
The linked article speculates that many of his supporters still won’t care. Indeed, my wife’s aunt, an inarticulately rabid Trump supporter, is still cheering him on, and I’m sure plenty of other white women (and evangelicals) still will – but a good many might also find this the final straw.
Originally shared by The Mary Sue
Why did #TrumpTapes go viral, as opposed to … anything else horrifying that’s happened with Donald J. Trump’s campaign so far? Let us explain.
Originally shared by Herb “Chucky Sly” Burnswell
“Why don’t they create new characters?”
“Why are they changing an icon?”
“I don’t like this PC crap!”
“I don’t don’t like any kind of change.”
“They’re trying to force things on us.”
All of these sentiments are pretty common in this community. This article essentially busts the bubble on all of them.
I hope that by “need,” this website means “don’t need”. Genderflipping these tropes just shows more clearly how hokey and ridiculous most of them are.
Via MrsA Wiggins.
Originally shared by Tshaka “Villain McBeardface” Armstrong
Often, what children see, they want to be. What they are most inundated with shapes their worldview, for better or for worse. And, ultimately that’s what seeing powerful images of blackness, or Asian-ness (Ghost in the Shell‘s missed opportunity), or any ethnicity, is all about. A sense of power, of confidence.
This is probably one of the most important pieces I’ve written in quite some time.
These scientists are so precious:
“One might have hoped that the Google News embedding would exhibit little gender bias because many of its authors are professional journalists,” they say.
Aha. Ahahaha.
Ahem.
This post could also have gone in my SFF Thought Starters collection. There’s a great story in the Futuristica anthology about an AI cop that’s shooting young black men because it’s been trained to assess threats based on a corpus of previous police interactions.
Originally shared by Winchell Chung
And how the MIT researchers used a mathematical transform to remove the odious gender bias from the dataset.
Bias example: If you query the vector space embedding asking Man is to Programmer the way Woman is to X, the dataset will respond “Homemaker”.
Originally shared by Conscious Style Guide
“The way we talk about disability, including disabled athletes, influences the way we think about it in a broader sense. Many people aren’t well-versed in issues important to the disability community and the Paralympics provides an opportunity to talk about them.”
#ableism #ability #disability
More on the question of writing people who are not, in some sense, “your” people. It’s well thought through and well expressed, I think.