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Geographies of cultural capital: education, international migration and family strategies between Hong Kong and Canada

2006· article· en· W1992093894 on OpenAlexfundaboutno aff
Johanna Waters

Bibliographic record

VenueTransactions of the Institute of British Geographers · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
FundersKillam Trusts
KeywordsSocial reproductionCultural capitalSocial mobilityReproductionMiddle classInternational educationSocial capitalLiberian dollarSociologySocial classClass (philosophy)Capital (architecture)Cultural reproductionValue (mathematics)Gender studiesClass formationEconomic growthPolitical scienceHigher educationEconomic geographySocial scienceGeographyEconomicsLaw

Abstract

fetched live from OpenAlex

This paper intervenes in debates on education and social reproduction, developing the link between ‘parental choice’, class status and spatial mobility. Drawing on research in Canada and Hong Kong with migrant students and ‘returnee’ graduates, it demonstrates the relationship between ‘choice’, social class and international mobility, arguing that geographies of middle‐class decisionmaking in education have been recently transformed with the growth of a multi‐billion dollar international education market. The paper unpacks the meanings and consequences of international education in Hong Kong, revealing how migration to Canada has enabled middle‐class families to accumulate a more valuable form of cultural capital in a ‘Western’ university degree. It argues for a geographically sensitive account of the relative value of international education and its close links with both class reproduction and place‐based transnational social networks.

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 score0.042
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0070.006
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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

Citations578
Published2006
Admission routes2
Has abstractyes

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Same venueTransactions of the Institute of British GeographersSame topicMigration, Ethnicity, and EconomyFrench-language works237,207