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International Trade & North-South Divide

2024· article· en· W4405395719 on OpenAlexaboutno aff
Ramanuj Chakravorty

Bibliographic record

VenueInternational Journal of Humanities & social Science studies (IJHSSS) · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeBusinessEconomics

Abstract

fetched live from OpenAlex

Trade more particularly international trade, in the nineteenth century experience of Great Britain (Salvatore 2004:186) and even earlier experience of Japan (Stigliz 2005: 12) amply demonstrate, has throughout been a growth-propeller for economies.Thus, International trade played a significant role in many others countries such as Australia, Canada, and certain Latin American countries such as Mexico and Brazil.However, the ever increasing development distance between the developed and developing economies and the continued subordination of the interest of the latter by the former group of nations have been of late a matter of great scholarly concern.Here and attempt has been made to identify the reasons for subordination of the developing countries by the developed economies.Attempt has also been made to emphasize the necessity of coming closer of the economies of South for preventing such unfavorable terms of trade experienced by the countries of South. TRADE AS THE ENGINE OF GROWTH:Trade, more particularly international trade, as the nineteenth century experience of Great Britain (Salvatore 2004:186) and the even earlier experience of Japan (Stigliz 2005: 12) amply demonstrate, has throughout been a growth-propeller for economies.By providing the productive sectors with the much needed stimulus and thereby unleashing the forces of production, trade functioned as an engine of economic growth.International trade played a significant role in many other countries such as Australia, Canada, and certain Latin American countries like Mexico and Brazil and African countries like South-Africa.Haberler, among others, has pointed to the following important beneficial effects that international trade can on economic development: International Trade & North-South Divide

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.133
Threshold uncertainty score0.444

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.008
Science and technology studies0.0040.004
Scholarly communication0.0130.007
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1330.034

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 head0.151
GPT teacher head0.308
Teacher spread0.158 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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