Thirty years after the fall of the Berlin wall in Germany and celebration
Bibliographic record
Abstract
Germany is one of the most developed nation state in the world order. It is celebrating its 30 years of the fall of the Berlin Wall on 4th to 10th November, 2019. It is a great country, great Germans. The preparation of the celebration is in full swing. Germany is ready to welcome people from all over the world to participate this mega event. However the domestic equality in economy, social between former East and West Germany is still different on the eve of 30 years of celebration. They are different in their dialect pronunciation, they different in economy, life standard and households development. This is not expected from such as strong and vast art and culture focused country and from a strong German nation. The objective of the paper is to share its upcoming celebration on the fall of Berlin Wall which is really a global event and discuss its domestic inequality since its reunification (1989) to at present. The outcome of the paper is to understand Germany’s pros and cons socially, economically, politically and its reasons behind and also to gain a knowledge about Germany through its in-depth discussion in the context of the great Berlin Wall. The outcome of the research exists on community sharing and thus learning about Germany among the new generation. The feature question of this research paper is; Germany is one of the G8, the most industrialized country in the world, why a part of Germany is underdeveloped compare to it’s another part even its extreme status in the world order from its history to the present?
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".