• for: progress trap, unintended consequences, Indyweb - justifiication
• description
  • a great source of quotations by thought leaders on the unintended consequences of technology,
    • in other words, progress traps
• comment
  • also a lot of rich material to justify the Indyweb's design ethos

No need to defend itself or assert its authority. It presents as a force of nature, like gravity, beyond question, beyond understanding. When threatened it responds ferociously, claiming to be "freedom", "liberty", "decency" itself - goodness and light, Christ manifest. Clearly, it is fascism.

An exercise needed to be completed to justify the actions of incompetency. Make the argument this does not align with the mission of our institution.

I think that the reason behind data's lack of context is the reluctance in making extra column for data's description and the inconsiderate and misleading vision that those in technologies hold when they put forth that data should be clean and concise.

I encountered the insufficient provision of data multiple times and I found it extremely inconvenient when trying to use downloaded online reports and attached them to my work experiences as a way to illustrate the efficient changes in driving audiences for a social media platform (Facebook). I used to help run an facebook page for a student organization. After being done with the role, I went to the "Insights" section of Facebook, hoping to download the report of increases in Page Likes, Visits, and Interactions during the period that I was an admin of the page. It took me several glitches to download the report (because it was a year-long term). When the pdf file was ready to be viewed, I was surprised, because they did not mention the years I was working, the name of the student organization, and other categorizations that should have been highlighted. Apparently, it's not hard to include the years or even the name because they were included in the filter when I wanted to extract certain part of the report and because it was the source where they took the data from, respectively. This laziness in showing competent data for analysis was desperate, and I had to add extra analysis to it. Even after I finished with the "extra work", I started to question to validity of the report I was downloading. Would it be trustworthy anymore, because without my clarification, no analysis could be made even by a person involved in data science field. Even if they could, it would take them a while to collect other external information before making clear of the data presented to them.

Understanding and constantly being bothered by this ongoing problem gives me justification to call for a more thorough data translation and presentation process. More questions should be raised and answered regarding what might a user wonder about this dataset when encountering it.

The website Forbes offered several pieces of advice for handle the task of rapid employee turnover, and most of them revolve around analyzing the current situation for the true root of the problem. These involved: 1. Offering more ways for current employees to give feedback on what in the company dissatisfies them, either through survey, interview, or ____. And of course, all of this must be free from repercussion. 2. Get feedback from those that have already decided to leave, from forms such as independently held exit-interviews, statistical analysis of what types of people are predominantly leaving the company, and post-employee investigation (that's done within reason)

https://www.forbes.com/sites/forbescoachescouncil/2019/04/04/have-a-turnover-problem-15-ways-to-find-out-why-employees-are-really-leaving/

Yes. The original inference she made, that the chief factor originating from the zip-code selection was the commuting distance put those from outside the close proximity white neighborhood at too steep a disadvantage to overcome. However, we should note that being that the people from these rich suburbs often have wealth to their name, a slue of other issues are observable when comparing them with their lower class competitors.

An example might be the family status of those in these minority rich communities. Lower income neighborhoods often have higher rates of single parents, or parents who can't afford a regular nannie and therefor require tough choices with time. Another might be the fact that their lower income means they might not have a car, or if they do have a car, it is being utilized by their spouse where they can't rely on its availability. Or that due to lack of actual home ownership, drives need to take multiple jobs, or seek income from illegal sources that can cause complications in employment further down the line. Without even needing to request any such info as family status in these resumes, a cacophony of prejudices information can be inferred, just from where they live.

Instance of Google Photos labeling African Americans as Monkeys/Chimpanzees

https://www.npr.org/sections/alltechconsidered/2016/03/15/470422089/can-computer-programs-be-racist-and-sexist

Disparate impact in United States labor law refers to practices in employment, housing, and other areas that adversely affect one group of people of a protected characteristic more than another, even though rules applied by employers or landlords are formally neutral.

https://en.wikipedia.org/wiki/Disparate_impact#:~:text=Disparate%20impact%20in%20United%20States,or%20landlords%20are%20formally%20neutral.

Disparate impact in United States labor law refers to practices in employment, housing, and other areas that adversely affect one group of people of a protected characteristic more than another, even though rules applied by employers or landlords are formally neutral.

https://en.wikipedia.org/wiki/Disparate_impact#:~:text=Disparate%20impact%20in%20United%20States,or%20landlords%20are%20formally%20neutral.

The 80% test was originally framed by a panel of 32 professionals (called the Technical Advisory Committee on Testing, or TACT) assembled by the State of California Fair Employment Practice Commission (FEPC) in 1971, which published the State of California Guidelines on Employee Selection Procedures in October 1972.

Originally, the Uniform Guidelines on Employee Selection Procedures provided a simple "80 percent" rule for determining that a company's selection system was having an "adverse impact" on a minority group. The rule was based on the rates at which job applicants were hired. For example, if XYZ Company hired 50 percent of the men applying for work in a predominantly male occupation while hiring only 20 percent of the female applicants, one could look at the ratio of those two hiring rates to judge whether there might be a discrimination problem. The ratio of 20:50 means that the rate of hiring for female applicants is only 40 percent of the rate of hiring for male applicants. That is, 20 divided by 50 equals 0.40, which is equivalent to 40 percent. Clearly, 40 percent is well below the 80 percent that was arbitrarily set as an acceptable difference in hiring rates. Therefore, in this example, XYZ Company could have been called upon to prove that there was a legitimate reason for hiring men at a rate so much higher than the rate of hiring women.

A 2007 memorandum from the U.S. Equal Employment Opportunities Commission suggests that a more defensible standard would be based on comparing a company's hiring rate of a particular group with the rate that would occur if the company simply selected people at random.[12] In other words, if a company's selection system made it statistically more difficult than pure chance for a member of a certain group, such as women or African-Americans, to get a job, then this could be reasonably viewed as evidence that the selection system was systematically screening out members of that social group.

https://en.wikipedia.org/wiki/Disparate_impact#The_80%_rule

why this particular case contributes to the theory.

Here Murray says the purposed of participant-observation in the study of power inequities.

Reflexivity.

Fraser's strengths to participatory planning are that it gives planners a way to address citizen concerns. and creates awareness around the challenges of participatory democracy.

Deepti Gurdasani. (2021, November 1). No- the statement explicitly talks about infection in children being a ‘booster’ to adults i.e. Children infecting adults to protect them against... Infection!🤔 I don’t think there’s any level of cognitive gymnastics that could justify this or make sense of it. [Tweet]. @dgurdasani1. https://twitter.com/dgurdasani1/status/1455106192112500736

Relationship of the IBPA to Foucault discursive analysis.

Why UPenn as the point of examination? Previous research: cass on UPenn's WPI 0 West Philadelphia Initiatives. But NON have looked at the neighborhood impacts Etienne - Among most sign qual research - but narrow subset - not comprehensive - no stats or measures of broader NH Change.

Outcomes criteria.

Criteria for judging if research benefits the vulnerable.

Renumeration of interviewees for time can be extractive.

Embedding research - immersive approach - good for descovering policy challenges.

Researcher as separate from the object of research is illusory. "The researcher is embedded in a definite social relationship in which there is a power differential in favor of the knower who assumes the power to define the process of the research.

social science has excluded women, thus a restart on feminist research is needed. Cites thinkers.

Lakens, D. (2021). Sample Size Justification. PsyArXiv. https://doi.org/10.31234/osf.io/9d3yf

[[question]] What is the [[over-justification effect]]

Clements, J. C. (2020). Don’t be a prig in peer review. Nature. https://doi.org/10.1038/d41586-020-02512-0

Luscombe, A., & McClelland, A. (2020). Policing the Pandemic: Tracking the Policing of Covid-19 across Canada [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/9pn27

Jolley, D., & Paterson, J. L. (n.d.). Pylons ablaze: Examining the role of 5G COVID-19 conspiracy beliefs and support for violence. British Journal of Social Psychology, n/a(n/a). https://doi.org/10.1111/bjso.12394

Gorey, C. (2020, June 22). Researchers link anger and paranoia with 5G Covid-19 conspiracy beliefs. Silicon Republic. https://www.siliconrepublic.com/innovation/anger-paranoia-5g-covid-19-conspiracy-theories

Mason Porter on Twitter: “I am here to help. https://t.co/JBQbTAPTQX” / Twitter. (n.d.). Twitter. Retrieved June 17, 2020, from https://twitter.com/masonporter/status/1273054551583555585

Vargas Salfate, S. (2020, April 16). A Response to Do higher-class individuals feel more entitled? The role of system -justifying belief (Xu et al., 2019). https://doi.org/10.31234/osf.io/hr39n

Zmigrod, L., Eisenberg, I. W., Bissett, P., Robbins, T. W., & Poldrack, R. (2020, April 14). A Data-Driven Analysis of the Cognitive and Perceptual Attributes of Ideological Attitudes. https://doi.org/10.31234/osf.io/dgaxr

Pieper, D. (2020, May 1). Challenging social systems under the threat of pollution: Replication and extension of Eadeh and Chang (2019). Retrieved from psyarxiv.com/axbj4

Here, Said is telling us that in order for history of oppression to have a purpose, it needs to be used in such a way where all of the voices of all of the oppressed can be heard or else we only hear the voices that justify tyranny. I think this is true and still remains true today, because if we only get that one part of history that has some justification, nothing changes. This is why history repeats itself; we don't look at exactly all of the suffering that happens.

The act of condition the citizenship to accept and expect stratification based on merit in society, thereby justifying unequal rewards (low pay, no health benefits, no control over shifts, low social status etc.)

The justification for intellectual property from the social contract established by the US Constitution; it otherwise has no justification by natural right because it fails the Lockean Proviso.

The first is the soul of the rights-based theory