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Record W2430888163 · doi:10.1080/13527258.2016.1195427

Heritage conservation and advocacy coalitions: the state-society conflict in the case of the Enning Road redevelopment project in Guangzhou

2016· article· en· W2430888163 on OpenAlexaff
Anna Ka-yin Lee

Bibliographic record

VenueInternational Journal of Heritage Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsCentennial College
FundersUniversity of Hong KongUniversity of Technology Sydney
KeywordsRedevelopmentGovernment (linguistics)Public administrationState (computer science)Political scienceLocal governmentCultural heritageVernacularSustainabilityPublic relationsLaw

Abstract

fetched live from OpenAlex

The Enning Road redevelopment project has been controversial in Guangzhou as the site possesses many vernacular buildings that are not officially recognised by the authorities as significant but are nevertheless highly regarded by non-state stakeholders as important entities that embody the unique essence and culture of local neighbourhoods. This paper examines the positive role led by the press media, the New Express, in bringing about changes in the government-sanctioned Enning Road redevelopment project plan through the lens of the Advocacy Coalition Framework (ACF). The significance of this paper lies in detailing how the news group has helped shift the project priority from being property-led to conservation-led. Its reports have gained a wide audience in appreciating and recognising the conservation value of non-designated vernacular architecture in inner city areas. Nonetheless, this paper raises question about the sustainability of civil mobilisation in subsequent conservation efforts, due to a general lack of enthusiasm. Neither urban redevelopment strategies nor conservation agenda have been subject to a major overhaul due to the impact of this individual redevelopment project. Therefore, the promise of change is at best a tactical compromise adopted by the municipal authorities to nullify opposing public voices in Guangzhou.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.047
GPT teacher head0.361
Teacher spread0.314 · 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 designQualitative
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

Citations29
Published2016
Admission routes1
Has abstractyes

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