61 Matching Annotations
  1. Last 7 days
    1. Studies that contrast Asian success, say, with that of other minoritized communities often fail to recognize chal-lenges facing Hmong, Vietnamese, Cambodian, or other Southeast Asian communities included in the broader Asian label

      Society has "umbrella-ed" a lot of categories to make it more digestible to the readers, but often it makes other fall through the cracks. When doing qualitative data would it be best for us to gain as much demographic information as possible to ensure that there is no erasure?

    2. Quantitative research findings should be interpreted in the context of specific measurement definitions for the vari-ables used in a study.

      Should this be co-constructed? Should inquiry and all future researcher ask the subjects definitions before a study begins? Can this be done with just observer data? or all data?

    3. I was not taught mathematics or statistics from a critical perspective, and I was surprised to learn of their history later in my career. I attribute my ignorance to my more privileged socialization and to the nonexistence of such a paradigm as CQL.

      Critically thinking about his interactions with statistics. Which sounds like the author has acknowledge that he is coming from a place of privilege.

    4. statistical methods are taught in education classrooms.

      I wonder if now with the current education system, if this is bringing forth even more critical thinking to thinking about numbers. I say this because it has been reported that about 50% of incoming college students are having to receive remedial math.

    5. These assumptions are false, harmful, and unnecessary, and they compromise the rigor of quantitative research in the social sciences

      this is the hill I will die on, in every lifetime. Numbers are important, but the way that they are explained are inherently biased. Often causing harms to the communities that they research. I wonder how anthropologist feel about this?

    6. The application of quantitative methods should incorporate a more critical lens

      There should be some sort of checklist/decision map to help researchers notice if they are thinking critically enough.

  2. Mar 2026
    1. For example, Black women experience racism differently from Black men and sexism differently from White women

      I just keep visualizing venn diagrams.

    1. our institutions have also participated in creating and reproducing systemic inequities

      This makes me sad to hear, because I was constantly told that education was going to make me better. That it would help me be better. I feel like a I am seeing the wizard behind the curtain.

    2. Categorizations like gender, race and ethnicity, income, and parental education are not fixed; these categories fluctuate over time, even if slowly

      This is a huge thing within the ecological systems theory. Chronology is one of the systems because overtime things do change.

    3. STEM equity analyses are conducted by researchers in many different settings across academia

      This is reminding me of the article that I read in another class, where they interviewed grad POC students about the microagressions that they were encountering throughout their program.

    1. racismoperates throughand betweenmany of these factors simultaneously.

      again because racism and slavery are at the root of most of the systemic problems in the US.

  3. Feb 2026
    1. described data as “the new oil.

      Meaning that data is power. Also, making parallels in how mining for oil destroyed ecosystems and now data centers are doing the same.

    2. rth illustrate

      I think this also demonstrates the fact that advocates that hold privilege and power say something. It reminds me so much about how Title IX was passed. A man had to sit at the table and say it was ok. I know it shouldn't be that way, but it is the reality.

    3. More specifically, voting was defined as a right reserved for “male citizens.” This is a clear instance of codified oppression in the structural domain

      But even after women were given the right to vote, it wasn't until the civil rights movement that women of color got the right to vote.

    1. Western non-White students are less likely to report science-related career aspirations as they age (Sheldrake, 2018). Social support from teachers or friends for a student’s STEM interests also declines after elementary school (Rice et al., 2013). Middle school STEM achievement fully explains racial and ethnic disparities in advanced high school STEM coursework

      When you think about how students are moved through the school system, this makes sense. In elementary school, you spend a year with an entire teacher. It become a bi-directional relationship. Meaning that there is more of a relationship. Moving towards middle school, the teachers have more students, more classes to teach, and less time to get to know the students. The same can be said at a high school level unless students are going to smaller schools.

    2. Yet to what extent Black, Hispanic, or AINAPI students in the United States are already less likely to display advanced STEM achievement during ele-mentary school is currently unknown

      why? this seems to be like a equity issue, probably the root of the problem?

    3. 1.6 out of 1,000 later held patents.

      Why use that ratio? Why not say 16 of 10,000? Why not just give a percentage? Was this done to make it "more digestible" for the reader?

    4. Less than 1% of those with a bachelor’s degree in sci-ence or engineering are American Indian, Native American, or Pacific Islanders

      One of the reasons of this must be that funding for STEM/STEAM programs are likely to get cut for schools that are in low-income neighborhoods. It should also be noted that the STEM/STEAM teaching positions are hard to fill.

    5. About 13% to 16% of White students versus 3% to 4% of Black or Hispanic students displayed advanced science or mathematics achievement during kindergarten.

      I would be interested to see the location of this study. Was it for an entire district? a city? a state?

    1. Brown v. Board of Education

      I need to read more about how this is holding up nowadays, with the opening of all the charter schools, losing of funding, and how schools are now more segregated than before.

    2. Hawaii, and California

      I wonder if cultural competency has been taken into consideration. I am from CA and I have friends who didn't even know that they needed services until they were in college. The stated the stigma that came with receiving services

    3. unlawful practices to delay or deny the identification of students

      where they independent charters? is this another repercussion of the NCLB funding?

    4. . On the one hand, studies show students of color are disproportionately represented in special

      This is also true when you come think about the incarcerated youth. Many individuals who are incarcerated also had a disportionately high rates of being part of SpEd services.

    1. ds us that we have consistently under-funded schools in poor communities where education is needed mos

      I think this also reminds us that we need to pay close attention to how and by who students are being taught. I think that a sparse DEI or CLDE training is not enough to combat the deficit language and bias that a lot of educators have.

    2. the notion of a "

      I would like to have a few words with that man. There is a lot to be said here. One Mexican families do not have a culture of poverty... I just have too many words for this

    3. if any, teaching. Now, I do believe that school can, and should, offer students some interesting and new experiences, but those experiences must be tied to student le

      However, learning can be done anywhere. A trip to the park can be both fun and educational. I think that when those things are said, it is a lack of creativity on behalf of the adults. Have they never heard of play based learning?

    4. t are not doing fine to catch up with them.

      there needs to be more intervention done in the primary grades. NCLB was probably the worst thing to happen to education. We are now seeing the ramification of it

    5. chievement gap and to begin to think about the incredible education debt we, as a nation, have accumulated. T

      An interesting thing to note is that the state of Colorado itself has a huge educational gap, being coined the educational divide. People moving to CO are quite educated but Colorado residents have not achieved the same level of education

    1. There are vulnerable queer people all over the world,” says Vitti, “and this app stands to hurt them.”

      !!! There is more harm than good being done, which would make this app unethical.

    1. my model is benign,

      But what happens when people think that the models that they use are benign? What happens when people "assume best intentions."

    2. model is highly unlikely to scale.

      Should we then look to use models that can only be scaled up? Or should that we can adjust to the different needs of different communities?

    3. Moneyball, the sport hasattracted data nerds throughout its history.

      yes!!!! However, they don't always work out. I personally love when stats can back up something, like stealing bases, but I know that although stealing bases is statistically not a smart choice, it adds drama to the game. The same can be said with boxing, but when we lose the integrity of sport, it just becomes numbers and playing in the favor of whomever get to benefit from those numbers

    4. achievement scores inmath and reading.

      what about testing bias? testing fatigue? all of the other outside variables that we have no control for? what was baseline? did it show growth? I have so many questions.

    5. Likegods, these mathematical models were opaque, their workings invisible toall but the highest priests in their domain:

      like an unspoken "truth" that is observed by many and not questions because it is in "good faith"

    6. 2008, after I’d been there for a bit more than a year, it came crashingdown.

      the fact that there was someone in the early 2000s who predicted the crash based on water consumption in a town and shorted stock.

  4. Jan 2026
    1. Data feminism is about power, about who has it and who doesn’t, and about how those differentials of power can be challenged and changed using data.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }1Yolanda Yang.

      !!!!

    2. Consider Christine Darden, who, after speaking up to her division chief, heard nothing from him but radio silence. But then, two weeks later, she was indeed promoted.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }1Amanda Christopher and transferred to a group focused on sonic boom research

      A thing to note is that women of color have been socialized to not rock the boat. From personal experience, in PWI I walk on egg shells, because I know that if I make too much ruckus with certain individuals, I might be blackballed from the entire organization.

    3. Darden, chose also to advocate for others.

      This also highlights the fact that for years women have had to have others advocate for them. For example, for Title IX to pass, a man had to "advocate" on behalf of women to say that it was a good idea to begin with.

    4. l wome

      To read that the "computers were all women," is interesting to say the least, because I personally have seen the biases that students have towards women who teach STEM subjects. One of the greatest feats of the US was built on the backs of women... is crazy.

  5. Oct 2021
    1. intent

      Intent is always a hard one to try and have a discussion about. Because at work we're told to think that the person was acting in the best intent. But when the intentions are hurtful how are we to talk about them and then get called out. The only way it works is if the other person is open-minded really.

    2. the alien, the other

      Also, to comment on this, this is the word that is used on legal documents for immigrants. Alien, which until that changes there are going to be no real changes to the education system

    1. ask yourself why you are going to teach Indian children.

      Is she alluding to the white savior complex that we often see when white teachers begin to teacher in predominately schools of color.