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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.047 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".