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Record W4200599366 · doi:10.5509/2021944661

Finding a Chulu (Way Out)

2021· article· en· W4200599366 on OpenAlexvenueno aff
Shanshan Lan

Bibliographic record

VenuePacific Affairs · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
FundersUniversiteit van Amsterdam
KeywordsMeritocracyChinaInequalityIntersection (aeronautics)Political scienceClass (philosophy)Gender studiesSociologyEconomic growthGeographyEconomics

Abstract

fetched live from OpenAlex

Based on multi-site research in China and South Korea, this paper examines the motivations for rural-origin Chinese students to study abroad in South Korea and how their overseas experiences are mediated by both internal and international educational hierarchies. Existing literature on transnational student mobility from Asia mainly focuses on students from urban middle-class backgrounds, while little attention has been paid to students from less advantaged backgrounds. Scholars have noted that China's seemingly meritocratic gaokao (national college entrance exam) policy in reality functions to perpetuate the structural marginalization of rural students in its educational system. This research moves beyond the internal migration paradigm by examining how social inequalities associated with the rural/urban divide are reproduced and re-articulated by the intersection of class, gender, place of origin, and time management at the transnational scale.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.034
GPT teacher head0.287
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreOther

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

Citations9
Published2021
Admission routes1
Has abstractyes

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