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X @The Economist
The Economist 2025-08-13 02:20
A study in France shows a striking gender gap within the first months of school https://t.co/qpS80XkvDZ ...
X @The Economist
The Economist 2025-08-11 01:40
A study in France shows a striking gender gap within the first months of school https://t.co/khwipp57XM ...
X @The Economist
The Economist 2025-07-25 04:40
A study in France shows a striking gender gap within the first months of school https://t.co/Jlt7mkl9dY ...
X @The Economist
The Economist 2025-07-10 07:20
Gender Studies - A study in France reveals a significant gender gap in the early months of school [1]
The Gender Gap in Mating and Money 馃
Gender Dynamics in Mating Preferences - Men who achieve success, such as becoming a "baller" at a law firm, become more attractive, while women making more money are simply seen as women making more money [1] - The increase in mating opportunities for men rises exponentially with success, whereas for women, financial success leads to a flat increase in mating opportunities [2] - 75% of women consider economic viability as a hugely important factor in a mate [2] - Only 25% of men consider economic viability as a hugely important factor in a mate [3] Socioeconomic Factors and Mate Selection - As women become more economically successful, their pool of viable mates decreases because women tend to seek partners socioeconomically horizontal or upward, while men seek partners horizontally or downward [3] - Women's increased economic success does not necessarily translate to increased attractiveness to the opposite sex [3]
Addressing AI鈥檚 Impact on the Gender Gap
Bloomberg Technology 2025-06-13 20:21
Generative AI Impact on Workforce - Generative AI applications are currently automating administrative jobs largely held by women [1] - Disproportionate impact on women could create further gender inequities [2] - Current AI models are trained on internet data, which is heavily male-dominated [3][4] - Lack of representation of women in training datasets, especially in areas like caregiving and unpaid labor, leads to biased models [4] Addressing Gender Bias in AI - Upper Level is creating a gender dataset to represent women's experiences and challenges [5] - Blending gender data sets could lead to gender equality across broader training sets [6] - Training large language models to be more inclusive can counteract bias [6] Women's Adoption of Generative AI - A significant gap exists in the adoption of generative AI between men and women, potentially around 20 percentage points [8] - Women's lower activity on tech platforms due to misogyny and lack of trust impedes adoption of generative AI [9] - The adoption gap between men and women is widening [10]