| There are some errors in your reasoning, though. Here's one. When people collect datapoints and observe a difference in one case not present in the other, they sometimes fall into the trap of thinking that their dataset is exhaustive - that it captures all the variables that matter. In other words, it's easy to start with the observation "women tend to be more represented in fields that exhibit qualities of care and less represented in leadership roles" and conclude that the absence of the variable "has leadership" makes up the core difference. But this is a conceit that you, the observer, made. Your choice of variables to look at influenced your observations of what is different and therefore important. Here's a counterpoint that contradicts your observed conclusion. Female heads of state and politicians have been increasing in number throughout the last century, and have done remarkably well in those roles. Has the nature and autonomy of executive power changed like medicine (according to you) has? It has not. It is a sign that you have not taken all variables into account. Here's another error in your reasoning. Why those variables specifically? How do you know those are the variables your subjects are thinking about? When women sign up to be doctors and nurses and not CEOs, are they expressly telling you the shared decision making are the important variables? Or is it because you inferred that those variables are important because you can measure them? In the interest of correct methodology, here are some other variables that people have suggested to explain the same data: women are conditioned or socialized into early expectations of caregiving roles; women are rewarded for pursuing caregiving roles in a way men aren't; there are more barriers for women than for men, and so on. Now are these variables the correct answer? We don't know. It is a complex topic, because humans are complex. It is possible biology and perceptions of role play a part, as does socialization and others. But what we can do is go a little meta and ask the likelihood that a biological variable is a good explanation in the first place. Consider what a good explanation has to do: it has to provide a causal mechanism, and be able to explain how the cause led to the effect you see. The trouble with every single biological explanation that's been proposed in this area is that they don't provide this causal mechanism. What exactly is it that makes women gravitate towards submissive roles? Is it estrogen levels? Hormones? Menstrual cycles? But then people on hormone therapy, people born with extra chromosomes, people with hermaphroditic parts, and so on should all display manifestly different behaviour and choices, which they don't. To explain these differences, you need to invoke more and more factors, until you end up with epicycles all over again. More generally, the history of biological explanations simply don't fare all that well in comparison to sociological explanations. A reasonable prior is to assume that it may play a small part, but that larger effects are driven by how society treats and works with people. |
My counterpoint is that motherhood, pregnancy, chastity, fertility, these are tied up in the biologic of a woman, and these fulfill important roles that can’t be explained by social factors. We are not at the stage where we can replace women with mass artificial wombs and then no child has a “mother” they know and grow with. Rather we know from studies that a nurturing mother is incredibly important for a child at the epigenetic level all the way to the social level.
So much of a social role is devised around motherhood and so much of male mating and paternity is focused on not wanting the woman to have children who are not his.
This is why it is said polygamy is a natural choice for people, women are more likely to accept and be ok with having one husband even if he has multiple wives, compared to the inverse. From a biological paternity standpoint, this makes a lot of sense.
I also challenge your notion that scientific studies conducted in a research study fashion are the preferred criterion for evidence. A study without context and understanding is dangerous. And there are many truths we know without putting them to the now industrialized scientific process of producing studies —- many of which suffer political and ideological pressures in terms of what they can study when it comes to the relationship between human behavior and controversial social issues.
So when you say women are pushed into caregiver roles… this is obvious if you understand the concept of motherhood. As for a rise in women leaders of countries, I will say overwhelmingly the political and business class is male, and generally women are not suited for leadership of a country. We saw a rising “feminization” of society in terms of corporate interactions and corporate decorum now being a default in many respects for how society operates; there are also ideological reasons to elevate “women leaders”; all of these are reasons I suggest you see a rise in women leaders of countries. If you look at societies where ostensible crude military control and authority are important to display, or even in war situations, we see that men are by far the ones involved in combat.
A big question to ask, why so few women in the military roles then, if they have been open to women now? If you look at women’s physical performance it becomes obvious. We aren’t at the stage of all robot armies yet; and the militaries of today are still by far men.