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Record W7066713934

Index of the Cycle of Money - The Case of Canada

2023· article· en· W7066713934 on OpenAlexaboutno aff

Bibliographic record

VenueScientificia - Journal of Entrepreneurship, Business and Economics · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)Circulation (fluid dynamics)Business cycleCurrencyWork (physics)Endogenous moneyFinancial crisisMoney measurement concept
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to apply the theory of the monetary cycle to the case of Canada. In previous works, the economic characteristics of Latvia, Serbia, Bulgaria, Greece, Thailand, and Ukraine were determined according to the concept of the theory of the circulation of money. The money circulation index provides guidance on how an economic system should counteract a currency crisis and examines how well a country’s economy is structured. Canada's money cycle index estimates are compared to the world's average money cycle index. The results show that Canada is above the global average. Canada’s results show that it is a leading economy and can deal with an economic crisis immediately and in a very short time, as leading economies should. The methodology used is based on the analysis of theory and mathematical, statistical, and econometric results. The current work is important because it presents the strength of the Canadian economy in the face of a possible financial and economic crisis. This work comes from a project for several countries. The recent decision to impose a minimum tax of 15% on international corporations is consistent with the fixed-length principle of the theory of the monetary cycle. The money cycle index or index of the cycle of money makes it possible to address questions about the strength of the economy, considering the economy as an entity that interacts with other economies. The case of Canada shows that its economy has an index of money circulation of 0.88, which means that it is one of the excellent economies and can recover from any economic crisis in 2 to 5 years, depending on how well the authorities will respond to an economic crisis. A value of 0.1 means that it takes 2 to 5 years for an economy to recover from its strength. The ideal economy has a value of 1 on the money circulation index (index of the cycle of money). An economy with a value of 1 can respond immediately to an economic crisis, and this is an ideal level for any economy. Every 0.1 less than 1 means that the economy will take 3 to 5 years to recover. The money cycle index is a unique index that measures the strength of any economy. This work is the only work that can be found in the current bibliography on the money cycle. In addition, this paper is a unique work that shows that tax evasion does not harm the economy but causes a delay in tax revenues, and at the same time tax evasion harms the economy. Research paper Keywords: The cycle of money; Canada; Index of the cycle of money Reference to this paper should be made as follows: Challoumis, C. (2023). Index of the Cycle of Money - The Case of Canada. Journal of Entrepreneurship, Business and Economics , 11 (1), 102–133.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.061
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.203
Teacher spread0.192 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations50
Published2023
Admission routes1
Has abstractyes

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