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Record W7133061656

Institutional racism in British Columbia: the Japanese case

2004· dissertation· W7133061656 on OpenAlexaffabout
Margot Massarutto

Bibliographic record

VenueTSpace · 2004
Typedissertation
Language
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsCanadian Asian Studies AssociationBibliographical Society of Canada
Fundersnot available
KeywordsLegislationMisrepresentationEnforcementWhite (mutation)RacismLaw enforcement
DOInot available

Abstract

fetched live from OpenAlex

This thesis is a contribution to the study of the Japanese-Canadians. It focuses on the Japanese-Canadians in British Columbia and analyzes the anti-Japanese legislation enacted by the province from the early acts of the 1880s, until the 1928 Gentlemen's Agreement that drastically restricted Japanese immigration. Those acts go under the definition of 'institutional racism': the provincial and federal enforcement of a legislation that discriminated citizens on the base of their race. British Columbia was characterized by socio-economic conditions that created a high level of competitiveness between white and East Asian workers. What brought about the enforcement of the discriminatory laws was the determination of unionized workers, and those politicians who sustained them, to eliminate 'oriental' competition. Popular beliefs and misrepresentation of East Asian immigrants, and the irrational hysteria that arose from an ad hoc manipulation of them, were used to create a consensual base for the perpetration of those actions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.077
Threshold uncertainty score0.560

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0410.010
Scholarly communication0.0060.001
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.288
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2004
Admission routes2
Has abstractyes

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