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Record W2053077115 · doi:10.1093/jrs/fes008

Borders Transformed: Sovereign Concerns, Population Movements and the Making of Territorial Frontiers in Hong Kong, 1949-1967

2012· article· en· W2053077115 on OpenAlexaffabout
Laura Madokoro

Bibliographic record

VenueJournal of Refugee Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSovereigntyPolitical sciencePopulationRefugeeLibrary scienceEconomic historyGeographyMedia studiesHistoryDemographySociologyLawComputer science

Abstract

fetched live from OpenAlex

Borders play a critical role in shaping our understanding of refugees. Under the modern refugee regime, people must move across international borders to obtain asylum. Borders are increasingly identified as sites of contestation; this article explores how refugees are fundamentally constitutive of modern borders regimes as states react to the movement of people with a variety of exclusionary mechanisms that, in turn, affect how those in motion are perceived. The evolving politics surrounding territorial borders between Hong Kong and the People’s Republic of China (PRC) from 1949 to 1967 illustrate how closing borders in the face of migrant mobility affected contemporary conceptions of refugees and the related possibility of obtaining refugee status. These critical years, spanning the victory of the Chinese Communist Party and the spread of the Cultural Revolution to Hong Kong, saw major shifts in the government of Hong Kong’s approach to its borders with the PRC. As a result of controls introduced by British colonial authorities, Hong Kong’s border zones changed from historically open spaces of free movement to highly restrictive and militarized barriers. At the same time, the possibility of refugeehood for migrants from the PRC vanished almost entirely. The impact of border controls imposed by colonial authorities in Hong Kong was so great that the fluid nature of migration into the colony was lost in discussions of sovereignty and illegality that sought to categorize migrants into distinct streams for the purpose of inhibiting entry.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.726

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.006
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.032
GPT teacher head0.365
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2012
Admission routes2
Has abstractyes

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