The new digital economy: How decentralized finance (DeFi) and non-fungible tokens (NFTs) are transforming value creation, ownership models, and economic systems
Bibliographic record
Abstract
This editorial introduces the Special Issue on Emerging Digital Platforms and Non-Fungible Tokens (NFTs). The collected articles explore how disintermediation through blockchain technology is redefining value creation, ownership models, financial stability, and decentralized governance. Key insights are provided on the shift from centralized to community-driven value systems, the emergence of innovative business models linking physical and digital assets, and the integration of traditional and digital financial tools for enhanced risk management. The issue also examines the complexities of decentralization, highlighting both the potential for democratizing finance and the challenges related to the concentration of influence within decentralized networks. Together, these studies provide a comprehensive understanding of how DeFi, in general, and NFTs, in particular, are reshaping economic interactions, fostering new forms of participation, and creating opportunities for more transparent and equitable economic systems.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| 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".