Bibliographic record
Abstract
By the development of free trade in the world and the European Union, Germany intervene against the automotive industry. The intervention done by given subsidies and the imposition of sales for one of the foreign automotive companies operating in the country. That automotive company is Opel. This General Motors-owned company will be sold by its parent as a result of their bankruptcy. The German Government forced the General Motors to sell Opel to a Canadian company, Magna International. Magna joined the Russian government-owned bank, Sberbank, and the Russian automotive company, GAZ. If the General Motors Opel sold to another party, then the aid of 4.5 billion euros will not be given. With this background it is formed to the formulation of problems answered in this study why did the German intervene Opel Bid Talks on Opel sales? This topic is very interesting because it can be seen from several points of view, such as regional and bilateral relations of Germany. However, in this study, the discussion is more focused on the German domestic economy
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.029 | 0.006 |
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".