Genesis, Evolution and Indicators of Leadership in the World Economy
Bibliographic record
Abstract
The article reflects the results of scientific research on leadership in the world economy. The purpose of the article is to analyze the problems of determining the key factors of the genesis and evolution of this phenomenon, as well as to identify indicators of the leading position of countries in the global economy. The relevance of the topic is due to the current global processes of the structural shifts within the world economic system and trends concerning a new change in the geo-economic leadership. Based on the world-system methodology, the geo-economic approach, as well as the comparative and historical methods in economics, methods of global political economy, the author developed and demonstrated their synergic potential applied to the research of the world economy’s evolution. Heuristic possibilities of the methodological-theoretical concept of a geo-economic polarity (including multipolarity) are used. The author concludes that the leadership is characterized by the presence of immanent factors that determine the genesis of becoming a leader. It is substantiated the significance of each of these factors and proved that their effective combination leads to the formation of a leadership in the global economy. The article provides and describes the chronological periodization of leadership, and its universal triggers, which are unique for each specific stage of the world economy’s development. It is established the presence of key indicators that reflect this leadership, and emphasizes the change and expansion of the range of these indicators in the process of the evolutionary development of productive forces. It is justified that current leadership tends to geographic dispersion and is expressed in the gradual establishment of a geo-economic multipolarity of the world economy. The article predicts the current change in the nature of geo-economic leadership itself.
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".