Gross Value Added per Person Analyses of Transportation Companies of Estonia, Latvia and Lithuania in 2005 - 2011
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Bibliographic record
Abstract
The aim is to analyze the labor productivity of transportation and storage companies of Baltic States (Estonia, Latvia, Lithuania) in 2005 - 2011, with emphasis labor productivity by gross value added per person employed and employee. The objective is to analyse labor in the Estonia, Latvia, Lithuania countries and continue with the new European Union (EU) Member States from Central and Eastern Europe (CEE-8) or new EU countries before and after the economic crisis, and to compare them on the EU level. We will look at how the economic crisis has affected the labor productivity of transportation companies. What are the lessons learned from the economic crisis? The literature review shows in short the crisis theory. It is concerned with explaining the recession, depression and business cycle in economics. We will make a short view of the financial crisis. Based on this and previous publications, we will offer a number of generalized suggestions. Keywords: Estonia, Latvia, Lithuania, transportation companies, labour productivity, gross value added, economic crisis. Abstract The aim is to analyze the labor productivity of transportation and storage companies of Baltic States (Estonia, Latvia, Lithuania) in 2005 - 2011, with emphasis labor productivity by gross value added per person employed and employee. The objective is to analyse labor in the Estonia, Latvia, Lithuania countries and continue with the new European Union (EU) Member States from Central and Eastern Europe (CEE-8) or new EU countries before and after the economic crisis, and to compare them on the EU level. We will look at how the economic crisis has affected the labor productivity of transportation companies. What are the lessons learned from the economic crisis? The literature review shows in short the crisis theory. It is concerned with explaining the recession, depression and business cycle in economics. We will make a short view of the financial crisis. Based on this and previous publications, we will offer a number of generalized suggestions. Keywords: Estonia, Latvia, Lithuania, transportation companies, labour productivity, gross value added, economic crisis.
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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 | 0.004 | 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 | 0.001 |
| 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 it