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Record W2748476335 · doi:10.5509/2017903459

The Regime of Urban Informality in Migration: Accommodating Undocumented Chosŏnjok Migrants in their Receiving Community in Seoul, South Korea

2017· article· en· W2748476335 on OpenAlexvenueno aff
HaeRan Shin, So‐Young Park

Bibliographic record

VenuePacific Affairs · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsMigrant workersIrregular migrationGeographyPolitical scienceDemographic economicsEconomic growthBusinessEconomic geographyEconomics

Abstract

fetched live from OpenAlex

This study looks at how a regime of urban informality has taken shape in a migrant receiving community in Seoul, South Korea. It investigates how actors from the public sector and the private sector came to help undocumented Chosonjok migrants stay in the Kuro/Taerim area of Seoul regardless of their legal status. We view such practices as a response to local changes provoked by shifts in the geopolitical environment and fluctuating national policies. Based on longitudinal fieldwork, including in-depth interviews, participant observation, and archival research, the findings of this study are as follows. First, public-sector actors, including the Korea immigration service, local authorities, and local police, have shifted their roles from controlling to accommodating, being motivated by competition with other departments, promotion, and personal attachment. Second, the private sector has expanded its role, building on relations with Chosonjok as easygoing customers and service providers. This study contributes to the understanding of regimes of informal settlements and their spatial contexts.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.292
Teacher spread0.256 · 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 teacher head, not a consensus.

Study designObservational
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

Citations15
Published2017
Admission routes1
Has abstractyes

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