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Influential Machines: The Rhetoric of Computational Performance: List of Tables and Figures

Influential Machines: The Rhetoric of Computational Performance
List of Tables and Figures

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Notes

table of contents
  1. Cover Page
  2. Title Page
  3. Copyright
  4. Dedication
  5. Contents
  6. List of Tables and Figures
  7. Acknowledgments
  8. Introduction: Locating the Energies of Computational Performance
    1. The Rhetorical Energies of Computing Machines
    2. Beyond the Front and the Back Ends of Computing and Toward the Deep End
    3. Thickening Procedurality with the Rhetorical Energies of Computational Performance
  9. Chapter 1: Manufactured Processing, Ritual, and Expert Systems
    1. Automation as Ritual of Science
    2. Knowledge-Based Systems and Looking to Machines for Answers about Health
    3. The Manufactured Processing of Vaccine Calculator
    4. The Energetic Movements of “Experts” and Science Communication
  10. Chapter 2: Processual Magnitude, the Sublime, and Computational Poiesis
    1. The Aesthetics of Vast Computing
    2. The Sublime Energies of @censusAmericans
    3. Attuning to the Angst of @censusAmericans
    4. Doing More with Computational Performance
  11. Chapter 3: Processual Signaling, Compulsion, and Neural Networks
    1. Persuasion, Indication, and Affective Compulsion
    2. The “Grooves” of Neural Networks
    3. The Machinic Parody of @DeepDrumpf
    4. The Critique of Processual Signaling
  12. Chapter 4: Designing Computational Performances to Actively Contribute Positive Energies
    1. Moral Luck and the Machine Question
    2. First- and Second-Order Agency
    3. Hedging Against Moral (Un)Luckiness and the Limits of Avoidance
    4. Computational Performance and an Ethic of (Distributed) Responsibility
    5. Pushing on the Precautionary Principle and the Paradox of Machinic Intervention
    6. Doing Good Instead of Avoiding Wrong with Alexa
    7. Good Machines, Speaking Well
  13. Chapter 5: Leveraging the Rhetorical Energies of Machines
    1. The Informational and Persuasive Labors of Machine Communicators During the Pandemic
    2. Going “Deeper” Toward Anthropomechanation
    3. Enlivening Human–Machine Communication with Rhetorical Energies
    4. Enlivening Inoculations Against Misinformation with Machinic Rhetorical Energies
  14. Notes
  15. Works Cited
  16. Index

Page viii →Tables and Figures

Tables

table 0.1 Traditional and Computational Performances

table 0.2. Distinctions Between Procedurality and Rhetorical Energies in an Analysis of a Carbon Footprint Calculator

table 1.1. Hepatitis B Excerpt from VaxCalc-Labs “Vaccine-Ingredients-Data”

table 1.2. List of Selections from “Step Two” of Vaccine Calculator

Figures

figure 1.1. CDC Catch-Up Immunization Landing Page

figure 1.2. CDC Catch-Up Vaccination Scheduler Output

figure 1.3. CDC Child and Adolescent Vaccine Assessment User Input Page

figure 3.1. The Performance of @DeepDrumpf

figure 3.2. @DeepDrumpf’s Automated Exergasia

figure 3.3. The Verisimilitude of the Machinic Parody of @DeepDrumpf

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Acknowledgments
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