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Record W1966302182 · doi:10.1177/000944551104700301

China, India and the US

2011· article· en· W1966302182 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChina Report · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsChinaEconomicsPer capita incomeEconomic powerIndex (typography)Developing countryDevelopment economicsGross domestic productInternational tradeEconomic growthGeographyPolitical scienceDemography

Abstract

fetched live from OpenAlex

Despite developing countries accounting for an increasing share of world income and exports, no significant shift in the ranks of the 25 largest economies by GDP has occurred between 1965 and 2007. And only China, and perhaps India but none of the other large developing economies, would account for a significantly higher share of world income by 2025 or 2050. Furthermore, in terms of per capita income, India would continue to remain relatively poor. We then find that there was no significant shift in economic power between 1990 and 2005 on the basis of an index formed from about 20 indicators of economic power. Next we measured how far countries were from the US on the basis of these indicators. Practically all countries, particularly the European ones, had substantially reduced the lead of the US. But China and India starting far away had moved only slightly closer to the US. The ability to generate new technology is a major factor in the power rankings. China had reduced the lead of the US in technology generating factors whereas India had almost stagnated. Consequently, China’s prospects of increasing its power were better than India’s.

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)0.001
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 score0.289
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.187
Teacher spread0.162 · 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