MétaCan
Menu
Back to cohort
Record W4298361435 · doi:10.18034/4ajournal.v2i1.15

Changing World Economic and Financial Scenario

2011· article· en· W4298361435 on OpenAlex
Abdul Ghafoor Awan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Accounting and Auditing Advancement · 2011
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsnot available
Fundersnot available
KeywordsFinancial crisisChinaDebtPopulationPovertyAsset (computer security)EconomicsGeographyProductivityOrder (exchange)EconomyDevelopment economicsEconomic growthFinanceMacroeconomics

Abstract

fetched live from OpenAlex

The dawn of the 21st century has changed the scene of the world economy and shifted the center of economic growth from the Western hemisphere to the Asian Continent. The global financial crisis of 2008 and the European debt crisis of 2010 have exposed the inherent weakness of G-7 economies, which are facing the challenges of twin deficits, falling productivity, rising debts, and an aging population. In contrast, the emerging economies particularly, China, India, and Brazil, have shown robust economic growth from 2000 to 2010. The objective of this paper is to measure the changes taking place in the world economy from 2000 to 2010 and their impact on asset allocation, employment, poverty, and allocation of resources. For this purpose, the author has selected total of 14 countries as a sample and divided them into two groups: G-7 and E-7. The G-7group Includes the USA, Germany, France, UK, Italy, Japan, and Canada while E-7 contains China, India, Brazil, Russia, Indonesia, Turkey, and Pakistan.
 The methodology used in the study is to compare different economic and financial indicators of these two groups of countries in order to obtain desired results. Mostly time series and cross-sectional secondary data, collected from the database of IMF, World Bank, US Federal reserves, relevant international research journals, and books, have been used. Different statistical techniques such as trend analysis and ratio analysis have been applied to measure the changes in selected variables. The results of the study are very encouraging. We found that increase in the national income of emerging economies has brought trickle-down effects and reduced poverty and inequality level in emerging economies. Only in China, about 400 million people have come out of the poverty trap due to rising employment opportunities. The share of E-7 economies in the world R & D has increased from14% in 2001 to 20.1% in 2007, while the share of G-7 economies has declined by 2.4% during the same period.
 The study found the declining trend of productivity levels in G-7 countries vis-à-vis E-7 countries. The anti-migrants policy of G-7 countries is one of the contributing factors to the decline of productivity. This study endorses the views of Blanchard (1997), David Romer (2001), Yuan Langwiler (2004), David C. Colander (2004), Andrew Glyn(2006), and John Hawksworth (2007) who contended that the USA will no more be a world economic power and China will likely to overtake her as world economic leader by mid of 21st century.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.615

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 head0.011
GPT teacher head0.197
Teacher spread0.185 · 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