The impact of trade openness on the unemployment rate in G7 countries
Why this work is in the frame
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Bibliographic record
Abstract
Recent and ongoing literature strongly implies the existence of a significant and robust impact of trade openness (liberalisation) and globalisation on unemployment, particularly in developed economies. This paper empirically investigates the impacts of four different measures of trade openness and globalisation on the unemployment rate in an unbalanced panel framework. The analysis focuses on the G7 countries: Canada, France, Germany, Italy, Japan, the United Kingdom (UK), and the United States (US). Robust empirical findings from panel data estimates demonstrate that, along with macroeconomic indicators and market size, all the measures of trade openness and globalisation are significantly and negatively associated with the unemployment rate. Therefore, we conclude that the continuation of the globalisation process instead of protectionism is of great importance in reducing the unemployment rate in developed economies.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it