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The lie pictures tell: an ex-model on the truth behind her perfect photos | Fashion | The Guardian
Finally, one night, watching him pace, listing all the ways I’ve failed to please him, it dawns on me: I’ve encircled myself with danger because it feels familiar.

In a flash, everything coalesces. The haze lifts, revealing my tale, the seemingly disparate fragments now connecting in pristine clarity. I became this woman by swallowing my voice through wound after wound. I’ve taken the world’s whippings for being born a girl as reason to believe I deserve only punishment and degradation, inflicted on myself, accepted towards myself.
harassment  sexism  gender 
10 hours ago by craniac
Netflix film examines why NASA shunned women astronauts in early days | Ars Technica
Since then, NASA has begun to redeem itself by taking steps toward gender parity.
This June, the world will mark the 55th anniversary of the first woman flying into space. Valentina Tereshkova, an amateur Russian skydiver, spent nearly three days in orbit inside a spherical Vostok 6 capsule. The first American woman, physicist Sally Ride, would not follow Tereshkova into space for another two decades.
A new documentary on Netflix, Mercury 13, examines the question of why NASA did not fly women in space early on and, in particular, focuses on 13 women who underwent preliminary screening processes in 1960 and 1961 to determine their suitability as astronauts. The film offers a clear verdict for why women were excluded from NASA in the space agency's early days—"good old-fashioned prejudice," as one of the participants said. Mercury 13 will be released Friday.
The film admirably brings some of these women to life, all of whom were accomplished pilots. There is Jerrie Cobb, who scored very highly in the preliminary tests and gave compelling testimony before Congress in an attempt to open NASA's early spaceflight programs to women. Another key figure is pilot Jane B. Hart, married to a US Senator from Michigan, whose experience in the project compelled her to become one of the founders of the National Organization for Women.
gov2.0  politics  space  women  60s  sexism 
yesterday by rgl7194
We Need A Better Way To Talk About ‘Sexual Misconduct’ | FiveThirtyEight
Vague, umbrella terms make an already difficult conversation even harder.
Matt Lauer was fired last year from his job co-hosting NBC’s “Today” show in response to allegations of “sexual harassment.” Or was it “inappropriate sexual behavior”? Maybe “sexual misconduct.” These are all headlines about the same reports — just using different language to describe them. As the media scrambles to cover wave after wave of accusations, the variation in language is making an already difficult national conversation about what crosses the line even more so.
sex  sexism  language  538 
4 days ago by rgl7194
Freshly Remember'd: Kirk Drift
“There is no other way to put this: essentially everything about Popular Consciousness Kirk is bullshit. Kirk, as received through mass culture memory and reflected in its productive imaginary (and subsequent franchise output, including the reboot movies), has little or no basis in Shatner’s performance and the television show as aired. Macho, brash Kirk is a mass hallucination.”
st:tos  kirk  sciencefiction  sexism  sf  culture  jamestkirk  tos  scifi  startrek 
5 days ago by djwudi
Word embeddings quantify 100 years of gender and ethnic stereotypes | PNAS
"Word embeddings are a powerful machine-learning framework that represents each English word by a vector. The geometric relationship between these vectors captures meaningful semantic relationships between the corresponding words. In this paper, we develop a framework to demonstrate how the temporal dynamics of the embedding helps to quantify changes in stereotypes and attitudes toward women and ethnic minorities in the 20th and 21st centuries in the United States. We integrate word embeddings trained on 100 y of text data with the US Census to show that changes in the embedding track closely with demographic and occupation shifts over time. The embedding captures societal shifts—e.g., the women’s movement in the 1960s and Asian immigration into the United States—and also illuminates how specific adjectives and occupations became more closely associated with certain populations over time. Our framework for temporal analysis of word embedding opens up a fruitful intersection between machine learning and quantitative social science."
to:NB  text_mining  sociology  sexism  racism  history_of_ideas  time_series  to_teach:data-mining  to_teach:data_over_space_and_time 
5 days ago by cshalizi

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