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Migrant Intimacies in the “Land of Opportunity”: Navigating Race, Class, and Status in Hong Kong’s Entertainment District

2024· article· en· W4391805505 on OpenAlexvenueno aff
Lai Wo

Bibliographic record

VenueAnthropologica · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsRace (biology)EntertainmentClass (philosophy)GeographyGender studiesSociologySocioeconomicsGenealogyHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Since the 1970s, Southeast Asia women have turned to outward labour migration to Hong Kong to enhance their economic livelihoods. However, while their overseas work afforded the possibility of improved material conditions back home, migrants face an array of ethnic, classed, and gendered subjugations during their temporary placements abroad. Hopeful for futures beyond domestic labour, some migrant workers engage in intimate exchanges with Euro-American expatriate men in Hong Kong’s entertainment district in Wanchai. Indeed, these relations do not entirely offset their ethnic and classed minoritization. But, becoming short-term partners, long-term girlfriends, or eventual wives provide alternative pathways for navigating their disenfranchisement as racialized labourers relegated to the city’s spatial and legal peripheries. Comparably, their expatriate male partners also conveyed their own subjective experiences of dislocation and suffering due to employment redundancy, aging, and past separations. Ethnographic research examining the intimacies forged between these two groups of foreigners in Hong Kong—Southeast Asian migrants seeking better futures, and Euro- American men healing from past employment and emotional traumas—reveal opportunities for expanded aspirational capacities, broadened orientations to the future, and alternative gendered subjectivities. This article explores how the intimacies fostered in Wanchai carve out opportunity to re-envision what might be affectively and materially possible in their futures beyond domestic labour, aging alone, and prolonged economic precarity.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.303
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.037
GPT teacher head0.345
Teacher spread0.308 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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