A NOVEL APPROACH TO CHARACTERIZING THE RELATIONSHIP BETWEEN ECONOMIC GROWTH AND ENERGY CONSUMPTION
Bibliographic record
Abstract
At the macroeconomic level, the consumption of primary energy resources is a deterministic factor of economic development, which justifies the relevance and importance of introducing an appropriate mathematical model.Using the tools of data-driven dynamical systems and Hamiltonian mechanics, we determine the relationship between energy costs and the distance traveled by a particular national economy in the economic space.The basis for the calculations is the time series describing the evolution of a cumulative GDP, recalculated according to the original method from monetary units to linear geometric dimensions, and energy resources consumed over a fixed period of time.The relevance of the mathematic relationships so obtained is verified by comparing the model predictions with the empirical data produced by four national economies, namely those of Canada, Poland, Russia, and Ukraine. In all of the four cases the model demonstrated a nearly perfect fit to the actual data.The approach via approximation the evolutions of economic performance and energy consumption by parabolas proposed in the article lies the groundwork for developing a general theory that may be employed to analyze economic performance of a wide spectrum of national economies and world regions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".