Hong Kong’s new normal: Remaking authorized discourses of “special administration,” 2017–2022
Bibliographic record
Abstract
The paper presents a critical discourse analysis of the five annual policy addresses of Hong Kong's chief executive, Carrie Lam Cheng Yuet-Ngor, whose term of office (2017-2022) spanned the most tumultuous episode in the modern history of the territory, one bisected by an extended season of street protests and the subsequent imposition of a national security law. Read as an authorized, real-time transcript of governmental rationalizations and responses, delivered in the first-person voice of Hong Kong's most senior politician, the annual policy addresses narrate a crisis-mediated shift from a postcolonial redoubt of liberal capitalism to an outpost of China's national-security state. Although the "one country, two systems" formula enshrined in Hong Kong's Basic Law retains its official status, a distinct transformation is evident, from the evocation of "two systems" as a wedge against one-country assimilation, to an apparently new normal based on the principles of securitized, "one-country" integration. In the process, the chief executive increasingly embraced the received discourses and sanctioned priorities of the Chinese Communist Party in her depictions of a "New Paradigm" for the governance of Hong Kong, founded on the "steer of the Central Government" with the "cooperation" of the government of the Special Administrative Region.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".