Heritage conservation and advocacy coalitions: the state-society conflict in the case of the Enning Road redevelopment project in Guangzhou
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".