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Record W2095592031 · doi:10.1080/14733285.2013.851064

Teaching English in South Korea: mobility norms and higher education outcomes in youth migration

2013· article· en· W2095592031 on OpenAlexfundno aff
Francis L. Collins

Bibliographic record

VenueChildren s Geographies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
FundersUniversity of WaterlooNational University of SingaporeRoyal Geographical SocietyRoyal Society
KeywordsEliteContext (archaeology)Gender studiesYouth studiesUnderemploymentUnemploymentSociologyPolitical sciencePsychologyEconomic growthGeographyPolitics

Abstract

fetched live from OpenAlex

In many Western contexts, travel has a long historical association with youth, young adults and coming of age, an association that often connects temporary mobility with the lives of the educated middle classes and elite. Indeed, from the colonial adventure and the ‘grand tour’, to contemporary ideas of the ‘gap year’ or ‘overseas experience’, the mobility of Western youth and young adults is often considered voluntary and based on a desire to explore places and develop positive personal attributes, marking a stark contrast to depictions of migration from the developing world as directly or indirectly forced and driven primarily by economic considerations. This paper questions this depiction of developed world mobility in the context of the changing economic conditions that face young graduates in many Western countries. Drawing on survey and interview data I focus on the profiles and biographies of young adults from English-speaking countries working as foreign language instructors in South Korea. Although the personal narrative of travel and exploration amongst these individuals remains significant, findings from this research also suggest that many of these young graduates are also driven by economic circumstances: unemployment or underemployment and high levels of debt usually associated with tertiary studies. This tension between the opportunities available to young people and the constraints imposed by their own circumstances raises important questions about the multiple layers of social and economic differentiation operating through higher education and international mobility in the lives of young people.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
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 head0.008
GPT teacher head0.247
Teacher spread0.240 · 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 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

Citations44
Published2013
Admission routes1
Has abstractyes

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