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Record W4402875266 · doi:10.1080/02529203.2024.2403271

Cultural Exclusion and the Transformation of the Cultural Landscape: The Origins of Anti-Chinese Racism in Canada

2024· article· en· W4402875266 on OpenAlexaffabout
Timothy J. Stanley

Bibliographic record

VenueSocial Sciences in China · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRacismSociologyEconomic geographyGeographyGender studies

Abstract

fetched live from OpenAlex

Anti-Chinese racism in Canada is a social structure of racialized exclusion that over time came to be built into the settler colonialism that continues to shape the country. Colonizers of European, and especially of British and French origins, have consequently created the cultural landscapes that constitute the country (i.e., its material constructions and dominant cultural overlays). When read against these landscapes, people of Chinese origins and members of other racialized groups continue to be positioned as aliens who do not belong in the country in way in which people racialized as white are not. Focusing on British Columbia (BC), Canada’s westernmost province, and the historical activity of people of Chinese origins, this paper traces the history of anti-Chinese racism and its links to Anglo-Canadian settler colonialism. Canada has long been linked to China, and the Chinese entered BC at the same time as Europeans before the country existed. Despite this, Chinese people have repeatedly been positioned as threats to Anglo-Canadian dominance, and especially to control over the land and its resources. Chinese Canadian resistance to racist exclusions, along with that of other groups, has led to the elimination of legislated exclusions. However, historic exclusions continue to shape cultural landscapes and popular understandings of who belongs and who does not. Remaking these landscapes requires an antiracist project of pursuing common projects that cross over racialized differences to remake the territory in ways that affirm the presence of all the peoples of Canada.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
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 head0.010
GPT teacher head0.297
Teacher spread0.288 · 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 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

Citations1
Published2024
Admission routes2
Has abstractyes

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