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Record W2783673406 · doi:10.1177/2059436417753705

Environmental disputes in China: A case study of media coverage of the 2012 Ningbo anti-PX protest

2017· article· en· W2783673406 on OpenAlexafffund
Sibo Chen

Bibliographic record

VenueGlobal Media and China · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChinaResistance (ecology)YardNarrativeAgency (philosophy)Government (linguistics)AuthoritarianismPolitical scienceEnvironmentalismSociologyLawSocial scienceDemocracyPolitics

Abstract

fetched live from OpenAlex

Environmental disputes have surged in China over the past few years. For many scholars, this trend indicates the proliferation of “Not In My Back Yard” resistance among ordinary Chinese citizens. Yet, to what extent does the “Not In My Back Yard” label accurately reflect the complexity of Chinese environmental activism? This article seeks to address this question through a case study of the 2012 Ningbo anti-para-xylene protest. By analyzing how the event was reported in four news sources (Xinhua News Agency, China Daily, South China Morning Post, and Associated Press), the article reveals that while the narratives of domestic sources presented the event as an unfortunate incident caused by irrational citizens, oversea sources presented it as a liberal resistance initiated by China’s rising middle class against an authoritarian government. Both storylines, however, failed to recognize the urban–rural dynamics underlying the protest. Such neglect not only raises concerns regarding the inherent ambiguity of China’s environmental activism but also invites us to think beyond the stereotypical label of “Not In My Back Yard.”

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 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)0.000
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 score0.047
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.008
GPT teacher head0.255
Teacher spread0.247 · 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 teacher head, 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

Citations12
Published2017
Admission routes2
Has abstractyes

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