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Record W4388249014 · doi:10.1017/9781009357616

Economic Transformation and Income Distribution in China over Three Decades

2023· book· en· W4388249014 on OpenAlexfundno aff
Meng Cai, Björn Gustafsson, John Knight

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicIncome, Poverty, and Inequality
Canadian institutionsnot available
FundersDepartment for International DevelopmentUnited Nations University World Institute for Development Economics ResearchUniversity of CambridgeInternational Development Research Centre
KeywordsChinaSuperpowerIncome distributionDistribution (mathematics)Development economicsEconomicsEconomic transformationEconomic reformEconomyGeographyInequality

Abstract

fetched live from OpenAlex

It is arguable that the most important event in the world economy in recent decades has been the rise of China, from being on a par with Sub Sahara Africa at the start of economic reform to being an economic superpower today. That rise remains under-researched. Moreover, the great structural changes which accompanied economic growth require examination. The nationally representative China Household Income Project (CHIP) surveys, conducted for the years 1988, 1995, 2002, 2007, 2013, and 2018, permit a detailed examination of many important aspects of a country's economic development. Much of the analysis of this Element is closely related to, and largely caused by, China's remarkable economic growth and income distribution over the thirty years. This title is also available as Open Access on Cambridge Core.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.249
Teacher spread0.228 · 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 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

Citations18
Published2023
Admission routes1
Has abstractyes

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