Publish at September 10 2025Updated September 10 2025
Traditional women as marketing tools
This resurgent trend is the brainchild of marketing specialists
They are present on social networks, the "trad wives", antifeminist women who propose a lifestyle like that promoted during the interwar period or after the Second World War. For them, a woman's role is to look after the house, cook for her husband and be a mother. They'll often be dressed in classic 1950s or '60s garb, looking like contented wives in a kitchen.
What if the whole image of the happy housewife wasn't just marketing manipulation? This France Culture capsule reminds us, for example, that one of America's best-known names, Betty Crocker, is a fictional character - though many people will mistake her for a real person - who promotes baking, cooking and the like. All this, initially, for a brand of flour.
Switzerland and France also had their perfect housewife role models, but in the end, they were just one of the tools used to promote the housewife: Betty Bossi and Françoise Bernard. Each of them entered the households of millions of people, anchoring the almost ideal image of the good wife.
Can you teach without practice? Benner links expertise with experience, but an accountancy teacher without experience can excel in theory. It's useful for the basics, but it limits your ability to deal with the unexpected. Practice inspires, but the right pedagogy sometimes compensates for its absence. A balance between experience and knowledge is ideal.
The mountains offer tranquillity and winter activities, but their remoteness and conditions are not for everyone. It's a lifestyle choice that depends on individual tastes and priorities, facilitated today by technology.
The notion of consent has long been swept under the rug. Then came the #MeToo wave of denunciation of sexual assault by women and men. This pushed our societies to question the importance of consenting to intimate gestures. A concept that can be instilled from a young age.
We might have thought that the machine could judge more impartially, since it has no feelings. However, studies and experiments tend to show that algorithms have strong sexist or racist biases. Their designers come from a world where prejudice still persists. These are reflected in AIs, which can lead to unfortunate judgments.