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Record W2308099772 · doi:10.14288/1.0103074

From Chinatown to ethnoburb : the Chinese in Toronto

2012· article· en· W2308099772 on OpenAlexaboutno aff
Arlene Chan

Bibliographic record

VenuecIRcle (University of British Columbia) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsChinatownDowntownDiversity (politics)Chinese americansFace (sociological concept)Socioeconomic statusPoliticsChinese communityHistoryGeographyChinaImmigrationSociologyGenealogyPolitical scienceAnthropologyDemographyPopulationSocial science

Abstract

fetched live from OpenAlex

The definition, face, and location of Chinatowns have changed significantly as Chinese communities establish themselves inside and beyond their boundaries. This paper demonstrates that both the older and contemporary Chinatowns in the Greater Toronto Area have developed in response to patterns of Chinese migration relative to the socio-economic, political, and cultural status of the Chinese in Canadian society. The history of the Chinese in Canada has been examined in many historical works, such as by Morton (1973), Con (1982), and Lai (1988). On the narrower subject of the Chinese in Toronto, academic research is extensive on a variety of topics reflecting the complexity and diversity of the Chinese communities, including the landmark papers of the early Chinese community by Mah (1977; 1978). The transition out of the downtown core into the suburbs has been studied, as by Lo 1997; however, only one book, Toronto’s Chinatown, has been published (Thompson, 1989) and this one focuses on its social organizations. My paper draws upon the qualitative findings of a literature search and interviews with descendants of the early Chinatown residents and business owners, as well as my own first-hand experiences. Having grown up in what-is-now-called Old Chinatown, I identified and interpreted the myriad and confluence of factors that has affected the settlement patterns of the Chinese in Toronto. The early Chinese, like others in urban centres across Canada, sequestered themselves largely in Chinatown as they faced the racism and discrimination of a white host society. The head taxes and subsequent exclusion laws of the late nineteenth and early twentieth centuries fueled the anti-Chinese sentiment of society, labour organizations, newspapers, and public officials. From among a predominantly homogeneous group of immigrants with common roots in villages of Guangdong province, merchants and businessmen assumed leadership positions within the clan, district, and political organizations that gave direction to Chinatown, the centre for commerce, culture, and community life of a bachelor society. After the Second World War, immigration laws were eased for family reunification and the ensuing influx of Chinese immigrants was fostered by a government policy of multiculturalism and a business incentive program. Rising out of the ashes of Old Chinatown, two-thirds of which was demolished for Toronto’s new City Hall, was Chinatown West, to the west, then Chinatown East, to the east. While these three inner-city Chinatowns remain significant centres of Chinese stores, services, and restaurants for locals and tourists alike, the middleclass dream for less congested neighbourhoods and more spacious homes attracted settlement in the suburbs of North York and Scarborough by the late 1970s. As coined by American professor, Wei Li, these “ethnoburbs” or new suburban Chinese neighourhoods further expanded into the adjacent municipalities of Mississauga, Richmond Hill, and Markham. Unlike the traditional Chinatowns in crowded downtown locations, the ethnoburbs are attracting the more affluent, skilled, and educated newcomers. Both Markham and Richmond Hill are among the fastest growing municipalities in Canada where the largest visible minority group is Chinese. Second, third, and fourth generation Chinese Canadians have integrated into the broader community. New immigrants, now arriving from all provinces in China, the second largest source country for newcomers to Toronto, as well as from Southeast Asia, Hong Kong, and Taiwan, are establishing themselves in the traditional Chinatowns and in the newer ethnoburbs. The settlement patterns of the Chinese reflect the diversity of the Chinese diaspora in the Greater Toronto Area, home to Canada’s largest population of Chinese. No longer are Chinatowns viewed as the urban plights of days gone by, rather as healthy signposts of neighbourhoods where the Chinese are at liberty to retain their culture and traditions in a multicultural, multiethnic, and multilingual society.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.229
Teacher spread0.219 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

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