16 Matching Annotations
  1. May 2022
    1. In explaining his approach, Luhmann emphasized, with the first stepsof computer technology in mind, the benefits of the principle of “multiple storage”: in the card index itserves to provide different avenues of accessing a topic or concept since the respective notes may be filedin different places and different contexts. Conversely, embedding a topic in various contexts gives rise todifferent lines of information by means of opening up different realms of comparison in each case due tothe fact that a note is an information only in a web of other notes. Furthermore it was Luhmann’s intentionto “avoid premature systematization and closure and maintain openness toward the future.”11 His way oforganizing the collection allows for it to continuously adapt to the evolution of his thinking and his overalltheory which as well is not conceptualized in a hierarchical manner but rather in a cybernetical way inwhich every term or theoretical concept is dependent on the other.

      While he's couching it in the computer science milieu of his day, this is not dissimilar to the Llullan combinatorial arts.

  2. Apr 2022
    1. Every work of art can be read, according to Eco, in three distinct ways: the moral, the allegorical and the anagogical.

      Umberto Eco indicates that every work of art can be read in one of three ways: - moral, - allegorical - anagogical

      Compare this to early Christianities which had various different readings of the scriptures.

      Relate this also to the idea of Heraclitus and the not stepping into the same river twice as a viewer can view a work multiple times in different physical and personal contexts which will change their mood and interpretation of the work.

  3. Mar 2022
    1. Take Smart Notes

      It's important to be able to understand an idea within it's given text fully, but good readers are able to take the idea and place it into other contexts, to extend it, connect it to ideas beyond the text, and ask additional questions that the original author may not have considered or even thought possible.

  4. Feb 2022
    1. Make permanent notes.

      The important part of permanent notes are generating your own ideas and connecting (linking them densely) into your note system. The linking part is important and can be the part that most using digital systems forget to do. In paper zettelkasten, one was forced to create the first link by placing the note into the system for the first time. This can specifically be seen in Niklas Luhmann's example where a note became a new area of its own or, far more likely, it was linked to prior ideas.

      By linking the idea to others within the system, it becomes more likely that the idea can have additional multiple contexts where it might be used and improve the fact that context shifts will prove more insight in the future.

      Additional links to subject headings, tags, categories, or other forms of taxonomy will also help to make sure the note isn't lost completely into the system. Links to the bibliographical references within the system are helpful as well, especially for later citation. Keep in mind that these categories and reference links aren't nearly as valuable as the other primary idea links.

      One can surely collect ideas and facts into their system, but these aren't as important or as interesting as one's own ideas and the things that are sparked and generated by them.

      Asking questions in permanent notes can be valuable as they can become the context for new research, projects, and writing. Open questions can be incredibly valuable for one's thinking and explorations.

  5. Dec 2021
    1. most people trained in our subjects are aware of is the 00:28:22 phenomenon of slavery among non farming populations and actually the classic example is precisely that of the the indigenous societies of the Northwest Coast who are known to have kept slaves 00:28:36 who were actually hereditary slaves in their households which were organized on these highly stratified aristocratic sort of lines what nobody seems to have 00:28:48 been interested up to now is why this practice of keeping slaves seems to sort of fizzle out and stop as you head south into what is now broadly speaking the 00:29:00 area of coastal California

      How many non-agricultural societies practiced slavery?

      Apparently some indigenous societies on the American Northwest Coast did down into coastal California.

  6. Nov 2021
  7. Mar 2021
    1. In computer science, a tree is a widely used abstract data type that simulates a hierarchical tree structure

      a tree (data structure) is the computer science analogue/dual to tree structure in mathematics

    1. Note that, although the modifying terms, fine and coarse are used consistently across all fields, the term granularity is not.
    1. System architects: equivalents to architecture and planning for a world of knowledge and data Both government and business need new skills to do this work well. At present the capabilities described in this paper are divided up. Parts sit within data teams; others in knowledge management, product development, research, policy analysis or strategy teams, or in the various professions dotted around government, from economists to statisticians. In governments, for example, the main emphasis of digital teams in recent years has been very much on service design and delivery, not intelligence. This may be one reason why some aspects of government intelligence appear to have declined in recent years – notably the organisation of memory.57 What we need is a skill set analogous to architects. Good architects learn to think in multiple ways – combining engineering, aesthetics, attention to place and politics. Their work necessitates linking awareness of building materials, planning contexts, psychology and design. Architecture sits alongside urban planning which was also created as an integrative discipline, combining awareness of physical design with finance, strategy and law. So we have two very well-developed integrative skills for the material world. But there is very little comparable for the intangibles of data, knowledge and intelligence. What’s needed now is a profession with skills straddling engineering, data and social science – who are adept at understanding, designing and improving intelligent systems that are transparent and self-aware58. Some should also specialise in processes that engage stakeholders in the task of systems mapping and design, and make the most of collective intelligence. As with architecture and urban planning supply and demand need to evolve in tandem, with governments and other funders seeking to recruit ‘systems architects’ or ‘intelligence architects’ while universities put in place new courses to develop them.
  8. Feb 2021
  9. Nov 2020
  10. Apr 2020