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Record W2388685897

A Comparative Study of the Economies of the Major English and Non-English VCountries

2007· article· en· W2388685897 on OpenAlexaboutno aff
XU Qing-jun

Bibliographic record

VenueContemporary Finance and Economics · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsPer capitaEnlightenmentProduction (economics)UnemploymentLabour economicsDevelopment economicsMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Since the 1990'sa,the major English countries(such as U.S.Britain,Canada,Australia) in the developed world have outdone the non-English countries(such as Japan,Germany,France and Italy) in terms of economic growth rate,per capita GDP growth,unemployment rate,and labor production efficiency.The main reason that can account for such disparity are as follows: The non-English countries,due to some error in the macro economic policy have missed the opportunity to develop their new economy,failed to transform their industry in time as a result of the influence of the powerful interest groups,thus resulting in slow economic growth.The English countries,on the other hand,actively implemented the economic reform and adjust the industrial structure in time and attached great importance to technological innovation and improving labor efficiency while maximizing the advantage of English as a global language,and consequently succeeded in accelerating the economic development.The gap in the economic growth rate between them can serve as an enlightenment to the other countries.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.360

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 communication0.0000.001
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 head0.020
GPT teacher head0.203
Teacher spread0.183 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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