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Record W2511039431 · doi:10.24908/jcri.v3i1.5974

John A. Macdonald, “the Chinese” and Racist State Formation in Canada

2017· article· en· W2511039431 on OpenAlexaffvenueabout
Timothy J. Stanley

Bibliographic record

VenueJournal of Critical Race Inquiry · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolityIndigenousColonialismRacismOpposition (politics)Political sciencePrivate propertySociologyLawPoliticsPolitical economy

Abstract

fetched live from OpenAlex

In 1885, John Alexander Macdonald took the right to vote away from men racialized as Chinese on the grounds that they were biologically different from “Canadians” and that their presence threatened “the Aryan character” of Canadian society. Through the 1885 Electoral Franchise Act, Macdonald was seeking to consolidate colonial expansion into the west by constituting the federal polity around the owners of private property, i.e., of land that had been converted from the collective control of Indigenous people. As elsewhere in the world, European colonialism in Canada involved taking control of Indigenous people’s territories and converting it to the private ownership of European colonizers. Making ownership of property the key to membership in the federal polity explains Macdonald’s initial support for giving the vote to women. It also explains why his legislation gave the vote to Indigenous people who met the property qualification. For Macdonald, ownership of private property was the final proof of an individual’s acculturation to colonial dominance. Property-owners from China, by contrast, threatened European dominance in British Columbia. Basing exclusion on alleged biological difference made it inescapable and permanent. The 1885 Act was thus a key moment in forming the racist state in Canada. Indeed, the strong opposition to Macdonald’s introduction of biological racism, including in the Canadian Senate on the part of his own appointees, underscores the significance of this change, one that would have consequences for racialized and excluded groups for many years to come

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.326
Teacher spread0.304 · 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 designNot applicable
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

Citations11
Published2017
Admission routes3
Has abstractyes

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