HRW is known for its emotive photo essays, whichconvey the texture and depth of the experience of human rights violations.
I think about the ethos, logos, and pathos arguments commonly used to persuade an audience. It seems like the HRW is heavily using pathos.
it roughly plateaued in the human rights advocacyspace, such a conclusion would be misleading.
do we find out why it plateaued?
including those which use quan-titative methods and data
giving meaning and making meaning of the numbers. As well as using them to make others care.
human rights
vulnerable populations are difficult to study because of the IRB, but it is set there to protect humans.
increasingly have been using data to deepen their un-derstanding of rights violations and data visualization to effectively communicate theirfindings and messages to targeted audiences, from the general public to policymakers andjudicial bodies
we love accessibility. However, I do wonder how they are marketing the information. It is a great step that academia has made to make the information more accessible, but are they placing this information in places that people will actually see it?
Visualization allows the viewer to explore cu-rated data;
judging the data with the visualizations
18 DO NO HARM GUIDEMALE, FEMALE, IN BETWEEN, AND BEYONDSometimes data are not collected at all about certain populations
Special interests group.
In other cases, however, such overrepresentation can be harmful, such as when parents with low incomes were overrepresented in a dataset that was used as an input to predict the risk of child abuse in Allegheny County, Pennsylvan
this can also be harmful in the sense that people might lean on those of the over representation to speak for the whole, even though they are not the whole
Researchers and analysts should also consider the root causes of disparities that are revealed in the data and frame their work and interpretations in
this is a great way to guide their work.
why”
multimodal.
Research questions should reflect the community’s values and account for cultural and historical context.
again emphasis on asking the community what it is that they need
FIGURE 03A tweet from Sarah Ibrahim demonstrates how people can see themselves in the data. Source: Sarah Ibrahim (@reina_sabah), “As an Indian woman, I can confirm that too much of my time is spent hiding behind a rock praying the terrifying gang of interna-tional giant ladies and their Latvian general don’t find me,” Twitter, August 6, 2020, 6:58 p.m., https://twitter.com/reina_sabah/status/1291509085855260672?lang=en.
haha. every time I see visuals like this it makes me feel some type of way.
3.
Numbers are concrete, the hit the logos argument, while the story telling will help with the pathos.
1
This reminds me of the "Do No Harm" ethics of medicine.
power construct of collected or merged difference that lives socially”
Isn't this is just interest convergence? one of the tenets of CRT
female first authors were six times less likely to be the corresponding author compared to whenmen were the first author
Has this been compared with female and male peer reviewers?
faculty are men and men outnumber women two‐to‐one among the rank of full professor
this is because of bias.
algorithm
I can understand why using an algorithm might be easier, but it does not take into consideration the nuances. Making using the algorithm biased
reviewer to use anunfriendly tone,
but tone is interpreted by the reader, is it not? What if the reviewer is just a matter of fact type of person?
core concern for scholars.
Should it then be reviewed by a person in a similar SIG?
gatekeepers
Another form of elitism.
work can beunwelcomed by scholars who operate and are invested in mainstream knowledge
one of my biggest fears, being black balled
Many scholars with marginalized identities research topics of equity out of a necessity to highlight their livedexperiences within an educational system embedded with social injustices normalized by their majoritariancolleagues
I would add that we also tend to explore topics of lived experiences of those near to us. we tend to do this to give us and others a seat at the table.
We analyzed trends in the gender/sex, geographi-cal affiliation
Personally for me, I think being a peer reviewer would be hard because I am always wondering about SIGs. I think I would be biased to the majority
The main objective ofthese visualizations is to provide teachers with knowledge about their learner’s emotions,learning causes, and the relationships that learning has with emotions
As a question in general, wouldn't a trauma informed practicum be a solution?
applying a systemic approach
Did they take into consideration bias?
A number of authors raise various directionsfor future research in social and emotional learning.
10 years later and after the pandemic, I wonder if this is still true today.
national curricula.
Some schools even started to grade this, which I think defeats the purpose.
Grit.
This word is so, "blech." I feel like it is the equivalent of "pull yourself up by your bootstraps." Author Amy Cranston, wrote a book called, "Creating Social and Emotional Learning Environments," where she spoke to how "grit" is the new version of pull yourself up by your bootstraps, and how that is creating highly anxious students.
defines data scienceas a set of fundamental principles that support and guide the principled extraction ofinformation and knowledge from data.
This is what I think when administrators state that their decision making is rooted in data
Asian and International counterparts with regards to persistence in STEM.
The model minority
53,077students
that is a substantial number.
In an ideal research study that embodied QuantCrit, communities would be involved in the entire process from the research agenda setting stage through the analysis and dissemination stage
Ask the community what it is that they want and need.
West approaches this work acknowledging the enslaved labor throughout the world
everything is rooted in slavery when we think about it.
These educational experiences informed his understanding of privilege and inequity and motivated his interest in QuantCrit.
interest convergence
She is proud of her bias to use data to help Black and Brown communities. As an early adopter and scholar of QuantCrit, she also acknowledges that she has a bias of holding others to a high bar when it comes to doing research related to quantitative data and race.
I wouldn't necessarily call it biased, but err on the side of advocacy. Calling it bias makes it seem like she is prioritizing others, but in reality it seems more like she is trying to be equitable.
it is impor-tant that, unlike other anti-racist or Diversity Equity Inclusive (DEI) approaches
I'm interested to see these approaches post the current presidency
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?
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?
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.
introductory statistics coursework
Why not introduce it sooner? Not only in the context of stats.
critical quantitative literacy,
I thought that was hope of common core math. To shift students into different ways of thinking about math?
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.
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?
quantitative and critical literacies are sel-dom developed in tandem—something this manuscript aims to change
got to start somewhere
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.
ael B. Frisb
Was a Special Interest Group (SIG) officer for 2024-2025 year for AERA
For example, Black women experience racism differently from Black men and sexism differently from White women
I just keep visualizing venn diagrams.
Groups are neither natural nor inherent
this makes so much sense to me because all identities are a social construct
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.
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.
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.
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.
do not add up.
how can this be circumvented?
umbers on trust. Ever
Just question everything then.
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.
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.
individuals in the world
It sounds like socialization and acclimation to me. As well as becoming numb to the situation.
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.
ββ1011−
Can someone make sense of this equation? Why are they using pi?
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.
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?
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?
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.
national priority
Who made this a priority?
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?
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.
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
unlawful practices to delay or deny the identification of students
where they independent charters? is this another repercussion of the NCLB funding?
Child Find
Child Find is also not the most accessible.
. 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.
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.
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
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?
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
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
could be abused.
it's not ethical. This is what was meant with WMD.
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.
racism in decision-making software
Sometimes, it's not even a machine.
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."
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?
Texas
The fact that this race blindness happened in Texas is rather shocking.
matter of opinion
to each their own, their own reality, and all based on their own experience.
model’s blind spots reflect the judgments and priorities of itscreators
!!! the bias, this is why we need peer review!!
or proxies.They draw statistical correlations between a person’s
the same is done for life insurance policies
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
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.
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"
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.
aquant for D. E. Shaw, a leading hedge fund.
I was just reading about quants in a novel.
I love the title!
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.
!!!!
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.
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.
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.
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.
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
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.