Here we spot wild Bardfinn Bluesky activities.
Be valid and ping ! bardfinn for something worthwhile or create a new thread.
Here we spot wild Bardfinn Bluesky activities.
Be valid and ping ! bardfinn for something worthwhile or create a new thread.
Now playing: Fear Factory (Tard Mix) (DKC).mp3
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vortex egg, MLIS (@vortexegg.com):
Reminder for everyone that when it comes to information systems, drives toward "neutrality" and "removing bias" are, in fact, social agendas that function by concealing biases and replicating existing assumptions about who is served, and who is not served (or is harmed) by that information or system
vortex egg, MLIS (@vortexegg.com):
For these people however, these phrases also mean that they intend to positively inject these system with explicit biases
vortex egg, MLIS (@vortexegg.com):
Silicon Valley is going to invent a basilisk that is so fricking racist
vortex egg, MLIS (@vortexegg.com):
There is no such thing as neutral or unbiased information or data. All data exists as an observation of some phenemonon from a particular point of view, and operatianlized to a particular end. All information and organization of info serves some person or community, toward some end, but not others.
vortex egg, MLIS (@vortexegg.com):
How would you identify what an "ideological bias" is, if not but from the vantage point of another ideology? All epistemic paradigms are necessarily ideological because they exist as social constructions derived from historical practices carried out by people in communities w/ relationships to power
vortex egg, MLIS (@vortexegg.com):
And if you want to deny this and claim,"well science is unbiased and maybe they just mean to carry out building these systems in line with the epistemology of science", you should look at all the executive orders trashing US medical research agenda and contradicting the biological sciences
Ms. Penny Oaken, SkyWitch (@skywitches.net):
(Also, science is not unbiased, recognises it is not unbiased, and simply has methods to account for and track potential biases, so they can be evaluated by people using the literature)
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