Bibliographic record
Abstract
This study examines the dynamic linkages between crude petroleum imports and GDP of Turkey. The vector autoregression analysis is carried on quarterly data for the period 1998Q1 to 2013Q2. This study utilized the generalized approach to forecast error variance decomposition and impulse response analysis which have many advantages against the traditional orthogonalized approach. The empirical results suggest that petroleum imports have positive impact on GDP until the second quarter. But, after the second quarter crude petroleum imports have negative impact on GDP. The results of the Granger causality test showed that crude petroleum imports granger caused GDP at 5% significance level, but not vice versa. Moreover, the generalized variance decomposition analysis exerted that the imports of crude petroleum shocks have only a small effect on GDP initially. However, after eighth quarters, the imports of crude petroleum shocks explain 31.7 pct. of the GDP, whereas 26.46 pct. of the variation in imports of crude petroleum shocks is explained by GDP shocks.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".