Bibliographic record
Abstract
Foreign direct investment flows had increased worldwide over the last decades and many specialists think that there is a strong correlation among trade, FDI, labor force, and economic growth in the receiving countries. Based on available statistical data, we will examine the effects of FDI on GDP growth and the causality relations between GDP, trade openness, labor force, and FDI in case of Romania for the last decades. The ARDL bound testing approach is used to study the existence of a long-run relationship between FDI, trade, labor, and economic growth. Then the error-correction based Granger causality test is used to test the direction of causality between the variables. The results revealed that there is cointegration among the variables when real GDP and foreign direct investment are the dependent variables. Foreign direct investment, trade openness, and labor force are the main determinants of economic growth in the long run in Romania. In addition, the increase of gross domestic product, exports, imports and labor force promote foreign direct investment in the long run.
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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 | 0.000 | 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".