Bibliographic record
Abstract
Purpose As far as governments are concerned, it is the nationality of a person, usually reflected in a passport, that shows whether the government has a duty to protect that individual and whether the person owes obligations to the state. Hong Kong is unusual in that for many people there, passports are primarily seen as documents that offer safety and security. It is not unusual for people to possess two or more passports. The purpose of this paper is to examine attitudes toward passports on the part of Hong Kong people, formed by their unique experience. Design/methodology/approach This paper analyzes key documents, such as China’s Nationality Law and a little known document, “Explanations of Some Questions by the Standing Committee of the National People’s Congress Concerning the Implementation of the Nationality Law of the People’s Republic of China in the Hong Kong Special Administrative Region.” The paper also looks at the Loh case of August 2016, involving a Canadian man who wanted a Hong Kong passport for his 11-year-old Canadian-born son, and the Patrick Tse case, where Hong Kong tried to strip a teenager who possessed German nationality of his Hong Kong passport. Findings The convenience of travel to China with a Home Return Permit seems to outweigh any sense of loyalty to an adopted country in the west, or the realization that the use of a document identifying its holder as a Chinese national means that she/he would not have any consular protection. It is also ironical that the Hong Kong Government should maintain the difference between nationality and ethnicity at a time when the Chinese Government is doing the very opposite, playing down the status of nationality while magnifying the importance of so-called “Chinese blood.” Originality/value This paper examines a topic that has not been widely studied but is likely to become more important in the years to come as China’s impact on the rest of the world increases. The nationality status of ethnic Chinese will increasingly become an issue as the flow of travel between China and other countries rises and Chinese immigrants continue to take up foreign nationality. While this issue is of special importance to Hong Kong, its impact will extend to countries around the world, in fact, to wherever Chinese persons are to be found.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".