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A sociocultural environment is not some cunningly contrived thing only exists in social psychology labs. Don't look now, but you're in one right this moment.
Cordelia Fine
As has been long observed, men are people, but women are women.
Cordelia Fine
No doubt the female self and the male self can be as useful as any other social identity in the right circumstances. But flexible, context-sensitive, and useful is not the same as “hardwired”.
Cordelia Fine
While parenthood served as no disadvantage at all to men, there was evidence of a substantial "motherhood penalty". Mothers received only half as many callbacks as their identically qualified childless counterparts.
Cordelia Fine
blatant, intentional discrimination against women is far from being something merely to be read about in history books.
Cordelia Fine
Here’s another example that some overworked mothers might find inspiring. We saw in Chapter 2 that being the one who producesthe sperm doesn’t dictate, by universal principle, that parenting is out of the portfolio. However, in the case of the rat (as with mostmammals), the balance of trade-offs make it more adaptive for males to leave parenting to the mothers. This might tempt us to take it forgranted that males, by virtue of their sex, therefore lack the capacity to care for pups. We might well assume that, through sexual selection, they lost or never acquired the biological capacity to parent: that it isn’t “in” their genes, hormones, or neural circuits. That it isn’t in their male nature. But bear in mind that one reliable feature of a male rat’s developmental system is a female rat that does the child care. So what happens when a scientist, under controlled laboratory conditions, simulates a first-wave feminist rodent movement by placing males in cages with pups but no females? Before too long you will see the male “mothering” the infant, in much the same way that females do. Feminism: 1. Sexual selection: nil.
Cordelia Fine
The tape measures and weighing scales of the Victorian brain scientists have been supplanted by powerful neuroimaging technologies, but there is still a lesson to be learned from historical examples such as these. State-of-the-art brain scanners offer us unprecedented information about the structure and working of the brain. But don't forget that, once, wrapping a tape measure around the head was considered modern and sophisticated, and it's important not to fall into the same old traps. As we'll see in later chapters, although certain popular commentators make it seem effortlessly easy, the sheer complexity of the brain makes interpreting and understanding the meaning of any sex differences we find in the brain a very difficult task. But the first, and perhaps surprising, issue in sex differences research is that of knowing which differences are real and which, like the intially promising cephalic index, are flukes or spurious.
Cordelia Fine
In the statistical gargon used in psychology, p refers to the probability that the difference you see between two groups (of introverts and extroverts, say, or males and females) could have occurred by chance. As a general rule, psychologists report a difference between two groups as 'significant' if the probability that it could have occurred by chance is 1 in 20, or less. The possibility of getting significant results by chance is a problem in any area of research, but it's particularly acute for sex differences research. Supppose, for example, you're a neuroscientist interested in what parts of the brain are involved in mind reading. You get fifteen participants into a scanner and ask them to guess the emotion of people in photographs. Since you have both males and females in your group, you rin a quick check to ensure that the two groups' brains respond in the same way. They do. What do you do next? Most likely, you publish your results without mentioning gender at all in your report (except to note the number of male and female participants). What you don't do is publish your findings with the title "No Sex Differences in Neural Circuitry Involved in Understanding Others' Minds." This is perfectly reasonable. After all, you weren't looking for gender difference and there were only small numbers of each sex in your study. But remember that even if males and females, overall, respond the same way on a task, five percent of studies investigating this question will throw up a "significant" difference between the sexes by chance. As Hines has explained, sex is "easily assessed, routinely evaluated, and not always reported. Because it is more interesting to find a difference than to find no difference, the 19 failures to observe a difference between men and women go unreported, whereas the 1 in 20 finding of a difference is likely to be published." This contributes to the so-called file-drawer phenomenon, whereby studies that do find sex differences get published, but those that don't languish unpublished and unseen in a researcher's file drawer.
Cordelia Fine
Here’s another example that some overworked mothers might find inspiring. We saw in Chapter 2 that being the one who producesthe sperm doesn’t dictate, by universal principle, that parenting is out of the portfolio. However, in the case of the rat (as with mostmammals), the balance of trade-offs make it more adaptive for males to leave parenting to the mothers. This might tempt us to take it forgranted that males, by virtue of their sex, therefore lack the capacity to care for pups. We might well assume that, through sexual selection, they lost or never acquired the biological capacity to parent: that it isn’t “in” their genes, hormones, or neural circuits. That it isn’t in their male nature. But bear in mind that one reliable feature of a male rat’s developmental system is a female rat that does the child care. So what happens when a scientist, under controlled laboratory conditions, simulates a first-wave feminist rodent movement by placing males in cages with pups but no females? Before too long you will see the male “mothering” the infant, in much the same way that females do. Feminism: 1. Sexual selection: nil.
Cordelia Fine
The tape measures and weighing scales of the Victorian brain scientists have been supplanted by powerful neuroimaging technologies, but there is still a lesson to be learned from historical examples such as these. State-of-the-art brain scanners offer us unprecedented information about the structure and working of the brain. But don't forget that, once, wrapping a tape measure around the head was considered modern and sophisticated, and it's important not to fall into the same old traps. As we'll see in later chapters, although certain popular commentators make it seem effortlessly easy, the sheer complexity of the brain makes interpreting and understanding the meaning of any sex differences we find in the brain a very difficult task. But the first, and perhaps surprising, issue in sex differences research is that of knowing which differences are real and which, like the intially promising cephalic index, are flukes or spurious.
Cordelia Fine
In the statistical gargon used in psychology, p refers to the probability that the difference you see between two groups (of introverts and extroverts, say, or males and females) could have occurred by chance. As a general rule, psychologists report a difference between two groups as 'significant' if the probability that it could have occurred by chance is 1 in 20, or less. The possibility of getting significant results by chance is a problem in any area of research, but it's particularly acute for sex differences research. Supppose, for example, you're a neuroscientist interested in what parts of the brain are involved in mind reading. You get fifteen participants into a scanner and ask them to guess the emotion of people in photographs. Since you have both males and females in your group, you rin a quick check to ensure that the two groups' brains respond in the same way. They do. What do you do next? Most likely, you publish your results without mentioning gender at all in your report (except to note the number of male and female participants). What you don't do is publish your findings with the title "No Sex Differences in Neural Circuitry Involved in Understanding Others' Minds." This is perfectly reasonable. After all, you weren't looking for gender difference and there were only small numbers of each sex in your study. But remember that even if males and females, overall, respond the same way on a task, five percent of studies investigating this question will throw up a "significant" difference between the sexes by chance. As Hines has explained, sex is "easily assessed, routinely evaluated, and not always reported. Because it is more interesting to find a difference than to find no difference, the 19 failures to observe a difference between men and women go unreported, whereas the 1 in 20 finding of a difference is likely to be published." This contributes to the so-called file-drawer phenomenon, whereby studies that do find sex differences get published, but those that don't languish unpublished and unseen in a researcher's file drawer.
Cordelia Fine