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Outline

Main Outline

  1. Ideas
    1. Introduction
      1. What this book is trying to do (objectives)
      2. A general theory of culture that would encompass the current era of Big Data
      3. An attempt to demonstrate the DH perspective
    2. Practical issues
      1. Problems of representation and metadata in the work of remediation
      2. Understanding social action
    3. Philosophical issues
      1. Meaning and Causality
      2. Form and Matter (Radical materialism and hard problem of form)
      3. Noumenon and Phenomenon
    4. Linguistic conventions
      1. Spelling
      2. Grammar
      3. Idioms
    5. Transduction
      1. Transduction as the transfer of information in causality
      2. Relationship to other definitions (physics, biology, logic, technology, etc.)
      3. The role selection and mutation
      4. Memory and materiality
      5. Monads
    6. Information
      1. Information defined
      2. Information is subject to laws
      3. Information and energy
    7. Communication
      1. Shannon
      2. Decompose the model
      3. The role of transduction in the model
      4. Transducers as Turing Machines
      5. Saussure
      6. Wiener
    8. Ontology introduced
      1. Generalized models (used as a diagrammar throughout the book)
    9. Mediation
    10. Exchange
    11. Culture
      1. Culture notoriously hard to define
      2. Where is culture?
      3. The role of ontology
      4. The transfer of ontology
      5. The mimetic situation
      6. Transductive plasma
      7. Transductive mediation
      8. Thick mediation
    12. Rituals, Books, and Databases
      1. Rituals and Governance
      2. Definition
      3. Models
      4. Transductive mediation
    13. Literacy, nationalism and the public sphere
      1. Anderson's model
    14. The Internet
      1. Thick mediation
      2. Cybarites
      3. Contagious Mimesis
      4. Social action in the datasphere
    15. The Datasphere
      1. The accidental Internet
      2. Not the networked society -- the databased society
      3. The rise of the database
      4. Data and spheres of exchange
      5. The cosmology of data science
  2. Philosophical Observations
    1. Machine Mimesis and Machinecdotal Knowledge
      1. Data has become that which can be produced, exchanged, and consumed by machines
      2. Machines as subjects
      3. The machinecdotal: Black boxes mean a return to the arbitrary; a new kind of subjectivism
    2. A Return to Ritual
  3. Loose Ends
  4. Reference
    1. The Theory of Etymons
    2. The Risk of Reference
    3. The Binding of the Referent
    4. Comparative Ontology
    5. Quantitative Structuralism

CONCEPTS

  • Elementary
  • Transduction
  • Information
  • Mediation
  • Communication
  • Exchange
  • Networks
  • Co-occurrence
  • Data
  • Reference
  • Complex
  • Bayesian Networks
  • Social Neural Networks
  • Spheres of Exchange
  • The Social Medium
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Page last modified on June 07, 2016, at 03:09 PM