As a teenage girl into coding, I was treated like absolute shit. If I made a mistake in my botball code, it was because I wasn’t good at coding. If a boy made a mistake in their botball code, then it was something that the other boys would help them debug. I remember it being assumed I just wouldn’t be able to figure out what structs were, so the boys running the botball code didn’t teach me. In college, any group project was an opportunity for boys to try to fuck me.
As a trans man, someone who has experienced life as both a man and woman in STEM, there are massive barriers to women. It’s invisible to you because you haven’t lived through it.
I am fully aware that those barriers exist. I am arguing (in other comments I am more explicit) about fighting against barriers, not a particular barrier.
I am also a foreigner in another country, and despite being a privileged person from many point of views (I could attend public university despite my family being poor), I have experienced some form of discrimination myself, so please don’t make assumption about other people’s.
I am not blind to those kind of barriers, I simply have different opinions on the actions to take to improve the overall situation, with the goal of removing the concept of barrier, not any particular one (if that makes sense).
Neither and both, depending on the context. There is no point to tell a person (who is maybe in need of a job and behind with the mortgage) “sorry, your group is privileged, fuck off”. At the same time it still makes sense talking generally about solving sexism, ageism and other form of discrimination still too common in tech. Both perspectives exist, but you can slice the population in many groups, with different “average” experiences, therefore is overall shortsighted to categorize people only based on “one slice”. Hence, the class analysis which is I find both more effective and more functional.
You didn’t mention in which context you are suggesting I am changing scope, so I am not sure what am I supposed to discuss.
Talking about how females or minorities or other groups are impacted by something is measured using averages across the whole population.
Yes?
I didn’t negate any general trend using any particular experience. The only particular experience I mentioned is my own, with the sole purpose of responding to:
It’s invisible to you because you haven’t lived through it.
Which suggested that I don’t acknowledge the existence of certain barriers because I did not live through it (assuming a lot about my personal life).
This is completely irrelevant to the overall argument I am trying to develop anyway, as I am not arguing that women don’t have barriers in tech, I am fully aware they do (even if at the individual level some might not). I am simply stating that since there are multiple levels of discrimination in tech, and people might be victim of many of those (classism, ageism, sexism, racism, homo-transphobia, etc.), workers - and in particular victims of discrimination (but also the “privileged” ones) - should acknowledge each other situations (in other words, develop a class consciousness) and join the struggle against the overall system that generates discrimination, not create fragmentation between them because of the specific discrimination(s) they suffer. To me, this rhetoric since to push for a kind of “feminism of the regime”, in which the status quo stays effectively the same, but the oppressor substantially are untouched, with a new coat of paint for supporting diversity.
That said, the population who attended this job fair is not a random sample of the “tech worker” population, therefore even in this case it might not make sense to use broad categories (like male and female) alone. For once, if you spend 600-1200$ for a job fair, chances are you are in dire need of a job. This probably means that at least a good chunk of those men are indeed outliers, so judging by broad categories (such as male=privileged in tech) might be especially wrong. This is my personal guess, and also why I would have liked for the article to interview some of them and understand why they were there.
Actually I am more referring to the analysis that is being done on the outcome of the fair than to the fair itself. I have no problem with the fact that the event was targeting women. Rather than asking why would some men join this event? Which men joined the event? etc., we stopped at “men steal places meant for women”. No depth in the analysis, no expansion of perspective, just alienation of some workers.
As a teenage girl into coding, I was treated like absolute shit. If I made a mistake in my botball code, it was because I wasn’t good at coding. If a boy made a mistake in their botball code, then it was something that the other boys would help them debug. I remember it being assumed I just wouldn’t be able to figure out what structs were, so the boys running the botball code didn’t teach me. In college, any group project was an opportunity for boys to try to fuck me.
As a trans man, someone who has experienced life as both a man and woman in STEM, there are massive barriers to women. It’s invisible to you because you haven’t lived through it.
I am fully aware that those barriers exist. I am arguing (in other comments I am more explicit) about fighting against barriers, not a particular barrier.
I am also a foreigner in another country, and despite being a privileged person from many point of views (I could attend public university despite my family being poor), I have experienced some form of discrimination myself, so please don’t make assumption about other people’s. I am not blind to those kind of barriers, I simply have different opinions on the actions to take to improve the overall situation, with the goal of removing the concept of barrier, not any particular one (if that makes sense).
Removed by mod
Neither and both, depending on the context. There is no point to tell a person (who is maybe in need of a job and behind with the mortgage) “sorry, your group is privileged, fuck off”. At the same time it still makes sense talking generally about solving sexism, ageism and other form of discrimination still too common in tech. Both perspectives exist, but you can slice the population in many groups, with different “average” experiences, therefore is overall shortsighted to categorize people only based on “one slice”. Hence, the class analysis which is I find both more effective and more functional.
Removed by mod
You didn’t mention in which context you are suggesting I am changing scope, so I am not sure what am I supposed to discuss.
Yes?
I didn’t negate any general trend using any particular experience. The only particular experience I mentioned is my own, with the sole purpose of responding to:
Which suggested that I don’t acknowledge the existence of certain barriers because I did not live through it (assuming a lot about my personal life). This is completely irrelevant to the overall argument I am trying to develop anyway, as I am not arguing that women don’t have barriers in tech, I am fully aware they do (even if at the individual level some might not). I am simply stating that since there are multiple levels of discrimination in tech, and people might be victim of many of those (classism, ageism, sexism, racism, homo-transphobia, etc.), workers - and in particular victims of discrimination (but also the “privileged” ones) - should acknowledge each other situations (in other words, develop a class consciousness) and join the struggle against the overall system that generates discrimination, not create fragmentation between them because of the specific discrimination(s) they suffer. To me, this rhetoric since to push for a kind of “feminism of the regime”, in which the status quo stays effectively the same, but the oppressor substantially are untouched, with a new coat of paint for supporting diversity.
That said, the population who attended this job fair is not a random sample of the “tech worker” population, therefore even in this case it might not make sense to use broad categories (like male and female) alone. For once, if you spend 600-1200$ for a job fair, chances are you are in dire need of a job. This probably means that at least a good chunk of those men are indeed outliers, so judging by broad categories (such as male=privileged in tech) might be especially wrong. This is my personal guess, and also why I would have liked for the article to interview some of them and understand why they were there.
Removed by mod
Actually I am more referring to the analysis that is being done on the outcome of the fair than to the fair itself. I have no problem with the fact that the event was targeting women. Rather than asking why would some men join this event? Which men joined the event? etc., we stopped at “men steal places meant for women”. No depth in the analysis, no expansion of perspective, just alienation of some workers.