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Opening Credits
1/11/2026
Introduction: Reconstructing Democratic Equality in Data Technology from Paper Records to Artificial Intelligence
1/11/2026
Part 1: Data Equality
1/11/2026
1. Data Hierarchy, Technological Neutrality, and Algorithmic Fairness: Some Obstacles
1/11/2026
2. Data Equality in Social Structure: An Opening
1/11/2026
Part 2: Equality
1/11/2026
3. Structural Equality: A Pragmatist Account of Democratic Equality
1/11/2026
3. (continued)
1/11/2026
4. Equal Treatment: Equitable Entry + Fair Processing
1/11/2026
Part 3: Data
1/11/2026
5. Structural Data: Formats + Algorithms
1/11/2026
5. (continued)
1/11/2026
6. Format Anatomies: A Methodology for Dissecting Data
1/11/2026
Part 4: Democratic Equality in Education Data
1/11/2026
7. Artificial Intelligence for Personalized Learning: An Anatomy of Learner-Model Formats
1/11/2026
8. Collaboration versus Personalization in Democratic Education: Evaluating Equality in Learner Data
1/11/2026
Conclusion: Becoming Data Equals
1/11/2026
Closing Notes
1/11/2026