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Record W2153027454 · doi:10.1093/jrs/fes009

The Uneven Development of the International Refugee Regime in Postwar Asia: Evidence from China, Hong Kong and Indonesia

2012· article· en· W2153027454 on OpenAlexaff
Glen Peterson

Bibliographic record

VenueJournal of Refugee Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsUniversity of British Columbia
FundersUnited Nations High Commissioner for RefugeesUniversity of OxfordUniversity of Cambridge
KeywordsRefugeeChinaColonialismCold warPolitical scienceInstitutionAgency (philosophy)Development economicsWorld War IIPoliticsEconomic growthPolitical economyGender studiesEconomic historySociologyHistoryLawSocial scienceEconomics

Abstract

fetched live from OpenAlex

This article contrasts three different refugee populations in Asia in order to draw attention to an aspect of the early UNHCR that has so far escaped the attention of refugee scholars. Existing research on the history of UNHCR emphasizes the agency's Cold War origins and its evolving role in international politics. However, this article suggests that when it comes to understanding the UNHCR response to refugee crises in Asia in the 1950s, a Cold War perspective alone is insufficient. What emerges from this study is that the early UNHCR was both a Cold War era institution and a colonial era institution. UNHCR's approach to refugee problems in Asia in the 1950s was shaped not only by a Cold War calculus but by a lingering colonial atmosphere, one in which it was taken for granted that ethnic Chinese were both unwelcome and barred from most western countries, and in which solutions to refugee problems in Asia were instead sought in older colonial understandings of the mass deployment of Chinese labour on a global scale to meet the needs of distant economies.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.343
Teacher spread0.300 · 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

Citations45
Published2012
Admission routes1
Has abstractyes

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