Bibliographic record
Abstract
Geography continues to shape the character and promise of Hong Kong’s financial sector. Its physical and human links to the heartland of China made it a natural center for trade in goods and services. And when trade between nations mediated by merchant companies was largely transformed by the practice of intra-firm transfers within multinational corporate networks, Hong Kong’s adaptation required little detailed direction. Its basic advantages remained the same even as industrial capitalism on a national scale developed into financial capitalism on a global scale. Hong Kong’s location, time-zone and territorial openness to the movement of people made it a clearing house for information. There was, nevertheless, nothing inevitable about the precise path Hong Kong has followed recently into the top tier of international financial centers. British rule set the policy and legal framework that still supports vibrant business networks with London, New York and other leading global cities. But two key advantages again manifested themselves in the years following the 1997 handover: financial linkages with the mainland remained robust, and Beijing continued to value highly Hong Kong’s role as gateway to the global economy. Nevertheless, to retain its top-tier position, Hong Kong must deal wisely with a range of fundamental policy issues in the coming years. These will require a more active role for government than has been the norm; continued reliance on a laissezfaire attitude and a low-tax regime by themselves will not be adequate. This brief article frames important policy debates on strengthening those advantages, first in light of high-end competition from within the region and then in the context of the rapid development of greater China.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".