On the Existential Basis of Self-Sovereign Identity and Soulbound Tokens: An Examination of the “Self” in the Age of Web3
Bibliographic record
Abstract
The blockchain social movement led to the emergence of Web3, a new, token-orchestrated iteration of the World Wide Web comprised of decentralized applications. With Web3, users can adopt a unique digital identity, known as a self-sovereign identity, that allows them to have access to their data and be central administrators of their transportable and interoperable identity. An inherent feature of digital identity in Web3 is that, in some cases, it can live forever. Web3 users, therefore, may accumulate digital assets, such as non-fungible tokens, in an attempt to leave a digital legacy behind. Terror-management theory, a social and evolutionary psychology theory, was theoretically applied to the act of digital asset accumulation as a potential mechanism of escaping death-related fears. In contrast, the current uses of non-fungible tokens (i.e., proof-of-ownership) and soulbound tokens (i.e., proof-of-character) were evaluated from a Logotherapy perspective to inform how Web3 could evolve toward a Decentralized Society.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".