<i>Bayspeak</i>: Narrating China’s Greater Bay Area
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
China’s Greater Bay Area (GBA) initiative is the latest and most ambitious attempt to “regionalise” the development process in the Pearl River Delta, promising to accelerate political-economic integration via an innovation-intensive model of growth. Drawing on the techniques of critical discourse analysis, this article presents a deconstruction of the GBA’s emergent spatial imaginary – “bayspeak” – and the rescaled mode of governance that it portends. By way of an interrogation of texts and contexts relating to the GBA initiative, it is suggested that the plan should be taken seriously, if not literally, in its projection of an encompassing and assimilative, if somewhat intransitive, mode of governance. An effort to constitute a mega-region “for itself,” rather than simply “in itself,” the GBA programme has opened a new space (and scale) for co-ordinated development and growth-coalition building under the auspices of the decentralised party-state. As an emergent discourse, bayspeak can be read as hyperbolic, aspirational and symbolic, but as the benign and developmentalist face of the Communist Party line in this economically important but politically stressed region, it may yet prove to be significant.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it