Bibliographic record
Abstract
Blockchain technology has the potential to disrupt digital interaction across our economy and society. As the internet has changed our lives, the potential for blockchain and distributed ledger technologies to do the same is considerable. Fred Steinmetz, Lennart Ante and Ingo Fiedler assess this rapidly developing technology and its imminent economic and societal impact.<br><br>The ideas behind blockchain technology stem from an open-source movement and build on existing technology to facilitate the exchange of value in general and assets in particular via a protocol on top of the internet. Current platform-based business structures face the risk of being replaced by evolving decentralized ecosystems and individuals are set to become empowered by sovereignty over their digital data and footprints.<br><br>The book begins by explaining the key concepts of blockchain technology and presents an overview of the involved technical and economic elements. These form the basis for a discussion of the socio-economic implications of this new technology. This is followed by an in-depth analysis of significant case studies in the sectors of energy, digital identity, capital markets, logistics and gambling that outline the risks and benefits of the technology. The book strives to be non-technical and accessible, and to demystify the functionalities of blockchains and their potential for a range of readers in the wider social sciences.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.005 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".