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Record W2167689607 · doi:10.1017/s0026749x14000341

Sovereignty, International Law, and the Uneven Development of the International Refugee Regime

2014· article· en· W2167689607 on OpenAlexaff
Glen Peterson

Bibliographic record

VenueModern Asian Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRefugeeSovereigntyScholarshipPolitical scienceColonialismInternational lawChinaNarrativeRefugee lawPolitical economyLawSociologyDevelopment economics

Abstract

fetched live from OpenAlex

Abstract When we think about the history of the international refugee regime, why is it that—with a few carefully delineated exceptions—there were no non-European ‘refugees’ until the 1950s? This article offers a critical examination of existing scholarship on the history of the international refugee regime and suggests some alternative pathways for future research. The article has three broad objectives. The first is to propose an outline for an alternative history of the international refugee regime, one in which the non-European and colonial worlds are not invisible or peripheral but rather central to the main narrative. The second is to ask what place Chinese migrants might occupy in such an alternative history of human displacement, stretching over the course of the twentieth century. Finally, this article tries to show that the period from 1945 to the early 1960s was an especially critical one in the history of the international refugee regime, one in which refugee movements bothout ofandintothe People's Republic of China were critical in generating the kinds of tensions and contradictions that emerged when the international refugee regime was transposed from Europe onto colonial and post-colonial Asia.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.022
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.040
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0010.003
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 head0.024
GPT teacher head0.292
Teacher spread0.268 · 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

Citations12
Published2014
Admission routes1
Has abstractyes

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