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Record W2562519860 · doi:10.5539/jpl.v10n1p56

Investigate the Exit of the Britain from European Union and Its Impacts on the International Community

2016· article· en· W2562519860 on OpenAlexvenueaboutno aff
Mohammad Ehsan Chaboki

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Socioeconomic and Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSuperpowerEuropean unionPoliticsPolitical economyPolitical sciencePower (physics)Development economicsEconomyInternational tradeEconomicsLaw

Abstract

fetched live from OpenAlex

Although Europe is not a superpower, but it is a great world power, at least in the economic dimension and it has a decisive effect on many international issues. Means it has much to say in relation to trade, the environment, drug control, natural disasters, and serious illnesses and so on. But in the field of policy passing the restrictive measures that puts on its agenda, in the major and basic issues it inevitably should cooperate with US and follow it. Europe on these types of subjects, considers inevitably a complementary role of America for itself at least for some time. So a sense that at the time was applied in Germany is also true about the current Union: European Union is an economic giant and a political dwarf that lacks the characteristics of a great and perfect power. It seems that no issue had been raised as the importance of exit of Britain from the European Union and the effects that it will leave from the end of the Second World War up to now means more than 70 years. Location and history of Britain add to the importance of this issue. The exit of Britain apart from the business and economic consequences can create a political and psychological shock in European developments. As entering of Great Britain took place loudly within a decade (Eventually, in 1973), leaving this country is associated with a lot of coverage in 4 recent years. This issue has been become one of the concerns of circles of Britain and Europe. America and Canada have also repeatedly warned about the negative consequences of this exit that we will discuss it in this paper.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.036
GPT teacher head0.225
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2016
Admission routes2
Has abstractyes

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