• tags :: marxism

source

• Derrick says that the thing that unties Marxists historically is the [[file:../20210310111947-labor_theory_of_value.org][labor theory of value]]

• Ezri says that if you hold that socialismis just a form of managed capitalism, then you must think of exploitationin a different way than Marx did

• Ezri says that dialectical materialismis, broadly, a philosophy of science not just social phenomena

• Dialecticshave been around since ancient Greek times as a means of argumentation, Hegel#39;s innovation is that he turns it into an ontology

  • Hegel's dialectics only works on ideas because for Hegel ideas are the only things that are real

• What is unique to capitalism is reinvestment and wage labor i.e. labor as a market

• The business cycle appears once you get industrial production

• Derrick remarks that a lot of state activity is the battling between various factions of the bourgeoisie rather than class antagonisms

• "Communism is the removal of alienationfrom the productive realm"

• Classical dialectics is about creating definitions from a description or discussion so as to move to axiomatic logic

What if Medicine took justice as seriously as science?§

“Over time, trying to answer that question became my life’s work. Now it has a name: Justice-Based Medicine. At its heart is a simple proposition: justice is not an optional extra to good medicine, it is part of the treatment.”

substack.com/@drguddisingh : What if Medicine took justice as seriously as science?

A New Kind of Science§

• [[go]] https://www.wolframscience.com/nks/
• Heavily critized book by [[stephen wolfram]], mostly (IIUC) for the way his ego gets in the way. I’ve heard/read the following:
  • He often doesn’t seem to care about previous work in the field.
  • He often seems to claim authorship of known concepts.
  • He’s sued people for publishing proofs that he considered a "industry secret" (of [[wolfram research]]).
• [[criticism]] http://bactra.org/reviews/wolfram/ is a scathing classic by [[cosma shalizi]].
• Got it on [[2021-01-06]]: https://twitter.com/flancian/status/1346787134489972736 pull

annotated hub of science§

• a [[project]]
  • by [[metasj]]
  • [[go]] https://meta.wikimedia.org/wiki/Annotated_Hub_of_Science pull

https://twitter.com/metasj/status/1383455991895781381 pull

citizen science§

• [[gardenfelder]] https://twitter.com/gardenfelder/status/1523028701822132224 pull

climate science§

Edwards calls climate science a ‘vast machine’ in that it is ‘a sociotechnical system that collects data, models physical processes, tests theories, and ultimately generates a widely shared understanding of climate and [[climate change]]

[[Half-Earth Socialism]]

complexity science§

Insights from complexity science help move beyond a Newtonian worldview of cause and effect to one that is holistic, nonlinear, and interactive.

– [[Free, Fair and Alive]]

Complexity science offers a more coherent way of explaining how functional design can emerge without a designer. Design happens as adaptive agents (such as commoners) interact with each other. The self-organization of agents — what we call “[[peer organization]]” in a commons — gives rise incrementally to complex organizational systems. There is no master blueprint or top-down, expert-driven knowledge behind the process. It emerges from agents responding to their own local, bounded circumstances.

– [[Free, Fair and Alive]]

See§

• [[complex systems]]
• [[Evolutionary and adaptive systems]]

• [[jonny@neuromatch.social]] https://neuromatch.social/@jonny/109804954594645183 pull

• [[2022-03-12 12:58:04]] [[@flancian:matrix.org]] (link):
  • as a student — I never got a degree. I dropped out of both [[literature and linguistics]] and [[computer science]]

• [[post]] https://qoto.org/@post/102125297701139394 pull

Data Science§

Go to [[The Golem Project Overview]], [[Main AI Page]], [[Econometrics Main Page]], or the [[Master Contents Page]].

This definition comes from Wikipedia.

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.[1][2] Data science is related to data mining, machine learning and big data.

Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data.[3] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge.[4][5] 

The Data Science Venn Diagram§

Data science§

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• [[kvistgaard]] https://twitter.com/kvistgaard/status/1551217360517959680 pull

• A pseudo religion I created in high school that essentialy worships [[science]] and [[mathematics]]

• [[jonny@neuromatch.social]] https://neuromatch.social/@jonny/109828776303058126 pull

I Can’t Believe It’s Not Science!§

IBM Digital Badge - Python for Applied Data Science§

Go to the [[Python Week 5 Main Page]] or the [[Python - Main Page]] Also see [[Econometrics Main Page]] or the [[Economics main page]]

Here’s a backup screenshot link: https://i.imgur.com/l6jSdf7.png

Learning science§

• [[infovestigacion]] https://twitter.com/infovestigacion/status/1523965922104422400 pull

Network Science§

• [[go]] http://networksciencebook.com/
• [[twitter]] https://twitter.com/dr_kvj/status/1334056391875592193 pull

• [[flancian]] https://twitter.com/flancian/status/1520787506983174144 pull

• [[jonny]] https://social.coop/@jonny/109264762707119045 pull
• [[jonny@neuromatch.social]] https://neuromatch.social/@jonny/110539490215216654 pull

• [[jonny@neuromatch.social]] https://neuromatch.social/@jonny/109658535599700100 pull
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• [[jonny@neuromatch.social]] https://neuromatch.social/@jonny/109825361398219742 pull
• [[jonny@neuromatch.social]] https://neuromatch.social/@jonny/110405271128897905 pull

On Exactitude in Science§

[[Jorge Luis Borges]].

• [[bengo]] https://mastodon.social/@bengo/109347029646967639 pull
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• [[jonny@neuromatch.social]] https://neuromatch.social/@jonny/109840136276697826 pull

• [[gardenfelder]] https://twitter.com/gardenfelder/status/1523028701822132224 pull

Public Library of Science§

• #[[references]]
  • Tags:: #[[references]] #[[D/Synthesis Infrastructure]] #interdisciplinarity #[[Domain-Analysis]]
  • Title: Epistemology and the socio-cognitive perspective in information science
  • Meta:
    • Authored by:: [[Birger Hjørland]]
    • Year: [[2002]]
    • Publication: Journal of the American Society for Information Science and Technology ([[JASIST]])
    • URL: Hjørland (2002). Epistemology and the socio-cognitive perspective in information science. Journal of the American Society for Information Science and Technology
  • Content
    • Abstract
      • This article presents a socio-cognitive perspective in relation to information science (IS) and information retrieval (IR). The differences between traditional cognitive views and the socio-cognitive or domain-analytic view are outlined. It is claimed that, given elementary skills in computer-based retrieval, people are basically interacting with representations of subject literatures in IR. The kind of knowledge needed to interact with representations of subject literatures is discussed. It is shown how different approaches or “paradigms” in the represented literature imply different information needs and relevance criteria (which users typically cannot express very well, which is why IS cannot primarily rely on user studies). These principles are exemplified by comparing behaviorism, cognitivism, psychoanalysis, and neuroscience as approaches in psychology. The relevance criteria implicit in each position are outlined, and empirical data are provided to prove the theoretical claims. It is further shown that the most general level of relevance criteria is implied by epistemological theories. The article concludes that the fundamental problems of IS and IR are based in epistemology, which therefore becomes the most important allied field for IS. - #lit-context
  • Seems classic (475 cites on GS, plus part of line of work around domain analysis) [[Domain-Analysis]] approach
    • Author also seems super important in this space - #[[📝 lit-notes]]
  • Disciplines have deep-rooted and consequential differences in what counts as "relevant" information. Some are characterized by [[paradigmatic relevance]], where the meaning of terms, and what therefore counts as relevant results for that term, vary substantially by "school of thought". #Relevance
    • 

      ⥅ [[https://firebasestorage.googleapis.com/v0/b/firescript-577a2.appspot.com/o/imgs%2Fapp%2Fmegacoglab%2Flzo9orBvZ2?alt=media&token=df92df81-86ad-42cf-84e5-f1ef93f3b620]]

• [[bengo]] https://mastodon.social/@bengo/109173368758874680 pull

Society for Social Studies of Science§

URL : https://www.4sonline.org/

soil science§

Core idea§

Soil Science aims to identify good soil. Good soil has adequete amounts of moisture, air, humus, and minerals to support plants.

Healthy soil typically consists of 20 percent clay, 40 percent silt, and 40 percent sand. Plant roots absorb/access nutrients best when the pH is in the 5.5 to 7 range.

• Cut straight into the soil with a shovel or trowel 6 to 8 inches deep, making a V-shaped hole.
• Cut a 1-inch wide slice of soil the length of the hole from one side. Take a 1-inch strip from the center of this slice to use in your sample.
• Repeat sampling randomly around the garden and mix the samples together in a clean glass jar or bucket.

Water Drainage Test

Composition Test

PH level

NPK test [[Nitrogen]]-[[Phosphorous]]-[[Potassium]]

Links§

https://www.almanac.com/content/3-simple-diy-soil-tests

[[soil]]

systems theory in political science§

The Value of Science§

Metadata§

• Author: [[Richard Feynman]]
• Full Title: The Value of Science
• Category: #articles
• URL: https://thejeshgn.com/wiki/great-speeches/the-value-of-science-richard-feynman/

Highlights§

• Scientific knowledge is an enabling power to do either good or bad — but it does not carry instructions on how to use it.
• Our freedom to doubt was born of a struggle against authority in the early days of science. It was a very deep and strong struggle. Permit us to question — to doubt, that’s all — not to be sure. And I think it is important that we do not forget the importance of this struggle and thus perhaps lose what we have gained. Here lies a responsibility to society.
  • Tags: [[favorite]]
• Communications between nations must promote understanding: So went another dream. But the machines of communication can be channeled or choked. What is communicated can be truth or lie. Communication is a strong force also, but for either good or bad.

• [[mmlvx@mastodon.world]] https://mastodon.world/@mmlvx/109711596746267437 pull