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Record W2995210886 · doi:10.31150/ajebm.v2i4.90

Thirty years after the fall of the Berlin wall in Germany and celebration

2019· article· en· W2995210886 on OpenAlexaff
Ananda Majumdar

Bibliographic record

VenueAmerican Journal of Economics and Business Management · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Politics and Security
Canadian institutionsAthabasca UniversityUniversity of Alberta
Fundersnot available
KeywordsContext (archaeology)Berlin wallFall of manGermanPolitical scienceEconomic historyEconomyHistoryPoliticsLawEconomics

Abstract

fetched live from OpenAlex

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?

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.099

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.210
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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