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Record W2512765976 · doi:10.24908/jcri.v3i1.6358

Contested Histories of Racialization and the Legacies of Sir John A Macdonald

2017· article· en· W2512765976 on OpenAlexaffvenueabout
Leela Viswanathan, Scott Lauria Morgensen

Bibliographic record

VenueJournal of Critical Race Inquiry · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsQueen's University
Fundersnot available
KeywordsRacializationIndigenousPerformative utteranceColonialismHistoryCONTESTSociologyGender studiesRace (biology)AnthropologyLawPolitical scienceAestheticsArt

Abstract

fetched live from OpenAlex

The year 2015 marked the bicentenary of Sir John A. Macdonald’s birth and sparked renewed interest in his legacies and the contested histories of race and racialization in Canada. One version of a monolithic history of Canada venerates Sir John A. Macdonald for his role as Canada’s first Prime Minister, a paternal figure of Confederation, and a nation builder who implemented projects of infrastructure and industrial development (i.e., Canadian Pacific Railway) and systems of land tenure and ownership. This dominating story of Macdonald’s legacies reflects a historical canon of biographies, dramatic plays, musicals, guided tours and monuments such that Macdonald’s history is conflated with a founding history of Canada. By contrast, diverse and different stories about human erasure, physical and cultural displacement, and assimilation—notably, of Black, Asian, and Indigenous peoples—are made marginal by the dominating discourse of so-called Canadian national progress. The essays presented in this issue of the Journal of Critical Race Inquiry (JCRI) (Volume 3, Number 1) contest dominant interpretations of the legacies of Sir John A. Macdonald by offering theoretical, performative, and experiential analyses of Canadian history, race, colonialism, and Indigenous cultural resurgence.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.009
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 head0.040
GPT teacher head0.353
Teacher spread0.314 · 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 designTheoretical or conceptual
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
Published2017
Admission routes3
Has abstractyes

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