# Metasj

- #pull [[samuel klein]]
  - a [[friend]].
  - I'd like to introduce him to:
    - [[benedict lau]]
    - [[vera]]
    - [[lorand]]
    - [[guo]]
    - [[paul frazee]]

## [[2022]]
- It's amazing knowing [[sj]]!

## [[2021-07-01]]
- [[cascading]] searches
	- ahs search prefix
	- https://oadoi.org
		- non API version that just works: see telegram
		- API seems good though
	- it should take any version of a DOI indicator, either in URL form or not
	- you want it to return the URL of a world readable PDF
- [[sociofesto]]
- [[space]]
	- [[weather]]
	- [[debris]]
	- [[helios]] group is its own data collective, US based
- how to assemble good collective ontologies
- [[interlay]] vs [[interlace]]
	- [[interlay]]: the universe of what's available around a topic. how to deal with reputation, visibility, governance.
		- has the feel of a search engine. search engines were the first interlays :)
		- fast feedback loop, discoverability
		- we have stopped at the second rung of a high ladder
		- [[q]] if there is a governance layer, is it in the interlay? I believe so
			- all layers could have governance components
	- example: an underlay that is a star catalogue
		- a single collaborative dataset
		- social aspects
		- needs coordination, e.g. how to do timestamps; how to sequence observations; how to handle a variety of sensors. these all yield rules that could be interpreted as governance.
	- [[interlace]] is a multiverse; a superset. doesn't have governance.
		- negative space for interlay
			-  as you develop reputations, governance, integration approaches for an interlay you may run across things where a decision isn't clear and it feels restrictive (once made) -- you know that one way to address it is to fork
			- pun on *interlays*
	- have you thought about exchange formats / interop standards
		- interlay: a collection of statements with some default schema
		- a standard schema could be: naming a source and describing its properties
			- aside: catalogue like
		- unsure now because people that care about granular knowledge and compile huge datasets get easily distracted about format questions
			- better to define it in terms of a namespace perhaps
			- it has at least a human readable name, perhaps an autogen machine readable name
			- describes which formats are available
				- structured data
				- human readable text
	

## [[2021-05-22]]
- ahoy!
- [[wikidata hackathon]] used [[big blue button]]
- [[push]] [[ahs]]
	- [[metasj]] dedicating more time to it going forward
	- new pitch: trying to simplify
	- a [[locus of focus]]
	- a [[legal]], [[summarized]] and [[annotated]] repository of [[knowledge]]
	- a [[distributed knowledge graph]]
- [[interlay]]
	- [[hypha]]
	 	- [[distributed press]]
- [[commons]]

## [[2021-05-05]]

- an [[intent]] for [[cooperation]]
- [[codex]]
- a node for every [[doi]]
- [[gen studio]]
- a canonical entity plus a conversation
- from [[go/meet]] notes
You have two webcams.



The government takes one webcam and gives it to your neighbor.

  

[https://en.wikipedia.org/wiki/You\_have\_two\_cows](https://en.wikipedia.org/wiki/You_have_two_cows)

  

[https://anagora.org/metasj](https://anagora.org/metasj) for previous notes

  

  

\===

\[ hub \] 

\[ legal \]

\[ perserverant \]

\[ comprehensive \]

\[ summarized and annotated \]:

a space for \[\[synthesis\]\]

\===

  

**Modularity:** 

-   Underlay of sources + pipelines; 

-   Interlay of aggregations and catalogs; 

-   Overlays for search, reading, annotation

**Interlay**: 

 1) Namespace for (articles, concepts, authors)

 - To start: 1M entities, write on read?

 \[identify 100 **disciplines**; top **X** historical + current articles, their authors + cites\] 

 2) 

**Bootstrap**:

-   get the 1m entities from somewhere

-   get X users to show contribution methods by example.  Good candidates:

-   reading groups paper/book clubs

-   grad students surveying their discipline

-   informal/out of system students

-   citizen scientists

**Units of contribution:**

 1) choose a discipline, build the "list of 100 historical articles / topics" in it, find sources for it \[sync w fatcat\]

 2) mark papers as \[\[state of the art\]\]

 3) assemble papers into a dependency graph

 4) run or join a \[\[reading club\]\] focusing on an area, a book or a set of papers.

\===

\[\[synthesis\]\]

\[\[hypha\]\] coop

  

IL: A healthy subspace for prosocial entities to outperform walled gardens --> here that maximizes your utility and connection.

  

Deustche Bank famously noted how Elsev is benefitting from a distorted market. (The same applies today to app stores...): [https://notes.knowledgefutures.org/pub/supertanker/release/3](https://notes.knowledgefutures.org/pub/supertanker/release/3)

  

[https://www.connectedpapers.com/](https://www.connectedpapers.com/)

===

obsd --> github --> agora

 (obsidiangit)

## [[2021-04-30]]

- [[importance]] 
- [[focus]]
  - for the focus to be sharper, X needs to happen
- [[context]]
- [[push]] [[ahs]]
  - instead of trying to figure out how to solve tangential complexity, a platform to focus on what's the focus of our disciplines
  - a platform for [[scholarship]]
  - what do we need?
    - [[names]] for its components
    - a [[mapping]] from a [[goal]] to all known resources that are known to contribute to the [[goal]], or the other way around
      - this feels like a network plus a [[flow]] problem
    - [[scripts]] that iterate over the data set and take actions
      - reminds me of [[intent based automation]] and [[declarative paradigm]]