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Record W4212767944 · doi:10.36475/7.2.12

Several Aspects in the Legal Regulation of Ethereum as the „smart Contracts”

2021· article· en· W4212767944 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLaw and World · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDigital Transformation in Law
Canadian institutionsnot available
Fundersnot available
KeywordsCryptocurrencyBlockchainConfidentialitySmart contractPaymentThe InternetComputer securityBusinessCommerceInternet privacyLaw and economicsComputer scienceEconomicsFinanceWorld Wide Web

Abstract

fetched live from OpenAlex

The article reviews the essence of blockchain – the technology of new generation, raised from the computer and internet development. The article also analyses several aspects in legal regulation of one of the most famous cryptocurrencies: Ethereum by using the blockchain technology. Except for that, the article describes steps of computer and internet development and the involvement of blockchain in these steps, as a revolutionary invention. The article analyses the essence of blockchain technology, the steps of its development and also, coming from its high confidentiality, the possibilities of its legal regulation by the states. In this regard, several countries are represented as an example (Great Britain, Vietnam, Canada). Except for blockchain, the article reviews essence and specification of Ethereum, as the cryptocurrency, as well as smart contract, analyses the area of smart contract development and the indispensability of its legal regulation, because they have an ability to detach simple consumer agreements in one of the directions of digital economy – electronic commerce, in the nearest future. In addition to this, the binary nature Ethereum is also analyzed, in particular it can be a method of payment, as well as have a form of a legally binding deal – contract with the high self-fulfillment mechanism and securing parties confidentiality standards.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.170

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.211
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it