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India as an Emerging Economy

2014· article· en· W606148969 on OpenAlexvenueno aff
Aamir Firoz Shamsi, Iqbal Ahmed Panhwar, Badar Alam Iqbal, Khizar Cheema

Bibliographic record

VenueTransnational Corporation Review · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsMindsetChinaEmerging marketsEconomyOrder (exchange)EconomicsDevelopment economicsMarket economyPolitical science

Abstract

fetched live from OpenAlex

India is one of the largest economies in the world, and perhaps, one of the most prominent emerging markets as well. This paper examines the current state of India in terms of strategy, mindset and its implications on economy and other determinants that impede growth. It also looks at the success stories along with plausible strategy for sustaining growth. Indian foreign policy is the most crucial determinant that set the tone of the future milestones. One major concern that might hamper the growth is the competitive strategy and hostile relations with neighbours, which is deemed as the biggest impediment for India to become an economic power house. This research includes the successful models of China, Germany and Japan and how they established their economies by collaboration with their respective regions or neighbours. This indicates a crucial point to ponder for India, which sturdily patronages a collaborative strategy with neighbourhood in order to alleviate its growth and become an economic power house of the world.

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)0.000
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.008
Science and technology studies0.0010.002
Scholarly communication0.0060.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.041
GPT teacher head0.255
Teacher spread0.214 · 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

Citations8
Published2014
Admission routes1
Has abstractno

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