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Record W2890856643 · doi:10.1080/14649365.2018.1514647

African migrants in China: space, race and embodied encounters in Guangzhou, China

2018· article· en· W2890856643 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial & Cultural Geography · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Global Influence and Migration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRacializationEmbodied cognitionChinaGender studiesSociologyRace (biology)Geography

Abstract

fetched live from OpenAlex

This paper examines ‘intimate geographies’ of everyday social encounters between African migrants and Chinese residents in Guangzhou, China. Based on interviews in an urban area represented as an ‘African enclave’, we document some of the banal, everyday sensory and corporeal encounters relating to housing, mobility, food, gender and trade. We suggest that African migration does not easily constitute an economic and cultural ‘bridge’ facilitating comprehension and appreciation between ordinary Chinese and Africans. Rather, we find racialized ‘Othering’ of African migrants to be a prevalent feature of encounters. We also find that African migrants are not voiceless and passive but proactive in questioning these views and practices, and in seeking to expand and deepen economic and broader social ties. These findings point to the importance of sensory perceptions and corporeal practices shaping racialization in many spheres of life, but do not preclude some forms of cultural bridging and positive interactions, demonstrating the ambivalences of embodied encounters in a globalizing city.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.302
Teacher spread0.292 · 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