Bibliographic record
Abstract
The paper aims to study the relationship between energy use and GDP in the period 1971-2007 for Israel with a time-series approach. Stationarity and unit root tests reveal that both series are non-stationary, or I(1). Moreover, since both series show the presence of a structural break, the Gregory and Hansen cointegration test has been conducted. The results evidence the presence of a long-run relationship. Causality tests reveal that the “conservation hypothesis” emerges, since the causality flow runs from aggregate income to energy use. The IRFs analysis evidences that a shock to the energy use affects GDP for one period, but dies out very quickly. While shocks to GDP create a smaller but significant response in the energy use, although it falls to zero in few periods. Finally, we calculate with an ECM that the total long-run multiplier is 0.95. The energy use will increase to correct the disequilibrium, with 68% of the (remaining) deviation corrected in each subsequent time period. In addition, a one-unit increase in the GDP immediately produces a 0.18 unit increase in the energy use.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".