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Evolution of money to digital currency

2022· article· en· W4281959507 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVestnik Universiteta · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Digital Transformation
Canadian institutionsYukon University
Fundersnot available
KeywordsCirculation (fluid dynamics)CurrencyEconomicsFiat moneyVelocity of moneyDigital currencyMonetary economicsAppropriationCommerceCommodityEndogenous moneyMoney measurement conceptMoney supplyPhenomenonExchange valueDepreciation (economics)MicroeconomicsMarket economyMonetary policyEngineering

Abstract

fetched live from OpenAlex

The purpose of the article is to reveal the evolution of things exchange from its emergence described as a simple model to formation of the commodity-money circulation with its subsequent transformation into an innovative state tending to the digital currency. The objective of the study is to identify the specifics of the double exchange of things model. In it, the needs of one individual are satisfied by the means of ensuring them that are in the possession of another. With the money’s advent, the alienation of one’s product and the appropriation of someone else’s in exchange for it is divided in space and time. This introduces fundamental changes in the simple exchange model. The circulation process does not end like a direct exchange of products. Money does not leave the sphere of circulation. They are deposited at those points in the circulation process that are purified by this or that commodity. The research methodology proceeds from the statements that, firstly, the identical is different, and the difference is manifested in the identity; secondly, in the thing being exchanged there is a hidden contradiction between its subjective assessment for oneself and for the other, and both sides value other people’s things higher than their own. The results obtained reveal the evolution of money towards digital currency as an objective social phenomenon. Their manifestation in different historical periods is compared – random exchange, commodity-money circulation, depreciation of money, the ratio of their supply and demand, the appearance of fiat money, and digital currency – their advantages and disadvantages are revealed.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.550

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.167
Teacher spread0.149 · 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