MétaCan
Menu
Back to cohort
Record W2728083413

Understanding China's Urbanization: The Great Demographic, Spatial, Economic, and Social Transformation

2017· article· en· W2728083413 on OpenAlexaboutno aff
Tony Champion

Bibliographic record

VenueTown Planning Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsUrbanizationChinaPopulationQuarter (Canadian coin)GeographyEconomic geographyEconomic growthScale (ratio)Regional scienceDevelopment economicsEconomic historyDemographySociologyHistoryEconomicsCartographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Understanding China's Urbanization: The Great Demographic, Spatial, Economic, and Social Transformation, Li Zhang, Richard Le Gates and Min Zhao, Cheltenham, Edward Elgar, 2016. vii + 426pp, £100, ISBN978 1 78347 473 8This authored book sets itself the challenge of providing 'the most comprehensive and up-to-date description of Chinese urbanization since the period of reform and opening up that began in 1978' (12). This is the period during which China's level of urbanisation tripled from under 18 per cent to almost 55 per cent in 2014 and its urban population grew by 558 million. According to their own calculations, China now possesses three megalopolises (urban areas with at least 30 million people), plus seven 'pre-megalopolises' and sixteen other large city clusters (LCCs), the twenty-six together being home to 874 million people or around 58 per cent of the total population. At the other end of the scale, there were almost 20,000 official towns with a combined population of almost a quarter of a billion. The statistics on China never fail to impress.The book rises well to this enormous challenge, constituting a veritable tour de force. It draws on a huge literature with a bibliography spanning almost 30 pages, split almost equally into English-language and Chinese items. It synthesises the complex and rapidly changing body of statistical information on Chinese urbanisation. It also goes beyond the numbers by presenting the results of the extensive fieldwork that the authors have undertaken across the country. It also sets out their own theoretical take on the developing scene in the form of a 'double dual track transition' model and describes the policy steps needed to support the second track that involves a shift of focus 'from the pursuit of quantity to the pursuit of quality' (351), following the first transition of evolving from a planned towards a market-based economy. Not for nothing, therefore, do the authors see their endeavour - the culmination of many years' work - as an exercise in 'applied policy-oriented research' (5).What is more, the book is written in an admirably accessible style. For one thing, it is aimed at readers with little previous knowledge of China, providing extremely useful grounding in the country's distinctive social systems, especially hukou and the difference between de jure and defacto residence, and also in the complex governmental and administrative frameworks as they have evolved over the past four decades. For another, the key messages are put across in a user-friendly, almost chatty, way right from the introductory section that sets out 'why we wrote this book' (1), 'who we are' (6), 'who this book is for' (7), 'how our book is different from other books about Chinese urbanization' (8) and 'our methodology' (9). Also very helpful for contextualisation is the outline of the book's contents at the end of the first chapter, the summaries at the end of each chapter and the frequent reminders of the central argument.In terms of contents, the book comprises ten chapters. Four are primarily scene-setting and, as mentioned, extremely valuable for those urbanists who are less familiar with China. The first chapter provides background on the country and its urbanisation history. The second reviews the history of hukou and argues that changes in this have not kept pace with the country's socio-economic development, leaving an imprint that will last for many years to come. The third reviews the evolution of the country's governance and administrative arrangements at different levels, while the fourth is especially salutary in stressing the vast regional disparities in the nature of urbanisation across China and in reviewing the evolution of relevant sub-national policies. …

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)0.001
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 score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0020.004
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0010.002
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 head0.082
GPT teacher head0.323
Teacher spread0.241 · 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

Citations18
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueTown Planning ReviewSame topicChina's Socioeconomic Reforms and GovernanceFrench-language works237,207