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Record W2005770798 · doi:10.1163/179325411x565416

The Chinatown in Peru and the Changing Peruvian Chinese Community(ies)1

2011· article· en· W2005770798 on OpenAlexaboutno aff
Isabelle Lausent-Herrera

Bibliographic record

VenueJournal of Chinese Overseas · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsChinatownChinese communityCompetition (biology)ChinaChinese americansImmigrationSpellGeographyQuarter (Canadian coin)EconomyBusinessHistoryEconomicsSociology

Abstract

fetched live from OpenAlex

Abstract The Chinese quarter established in Lima shortly after the arrival in 1849 of Chinese indentured laborers, mainly from the Guangdong province, has gone through significant changes during its long history. Perhaps the more significant of these have occurred since the last two decades with a new influx of Chinese immigrants mostly of Fujian origin. Instead of reinforcing the Chinese community the coexistence of the old and new Chinese has led to fragmentation, competition and increasing social tension in the Chinese community in Peru, not least in redefining the Huiguan’s role. Competition has intensified not only in terms of pricing but also looking for commercial space (stores and warehouses). Wholesale importers of Chinese manufactured goods, restaurateurs, hoteliers and spa managers have extended their businesses beyond the old limits of Lima’s Chinatown. Does this spell the end of Chinatown or the beginning of multiple Chinese quarters?

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.287
Teacher spread0.266 · 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.

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

Citations27
Published2011
Admission routes1
Has abstractyes

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