How Globalization Is Related to Energy Productivity? (A Mathematical Analysis on Iran’s Agricultural Data)
Bibliographic record
Abstract
Agriculture is recognized as a key economic sector for almost all developing nations including Iran. Nowadays, world economy has been highly integrated as economic performance of a given country is more susceptible to policies taken by other countries than four decades ago. So, investigating the possible impacts of this new worldwide phenomenon (globalization) would be a vital issue. This paper is an empirical examination of the association between globalization and energy productivity in the Iran's agriculture context by using time series econometrics techniques including causality and cointegration tests for the period 1967-2018. Main results confirm existence of a unidirectional causality from globalization to agricultural energy productivity. Other findings revealed that every one percent increase in globalization index is expected to lead in 0.75 percent rise in agricultural energy productivity in the long-run. The error correction coefficient is estimated at -0.25 implying that the effect of every shock imposed on the long-run equation would be vanished in just four years.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".