Analysis of Aspects of the Regional Economy in the Digital Economy, Using the Example of Financial Services
Bibliographic record
Abstract
The relevance of the study is that, in the aspects of the development and offer of financial products are not manifested outside the digital world, then from the point of the need for analysis, the question of the possibility and necessity of applying the existing approaches of the regional economy.Тraditional regional economic theories of the 20th century can be summarized as made-here-sold-there goods.The aim of the study is to analyse the offer of electronic financial services, as part of the Digital Economy, from the point of view of the regional economy.Research methodology includes analysis and synthesis of financial market knowledge.Financial services as an example were chosen by the authors since such services are completely provided in the digital field and thus will exclude the influence of aspects of the product or service that are provided outside the digital world on the final judgments and analysis.The paper discusses models for individual cases in the regional economy, when all regions are equally distant from each other.It is determined that a modern financial product can be based on local industries located in different regions, but united by one production -the so-called ecosystem, which has been studied at the international level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".