Education as a site for the Imperial project to preserve whiteness supremacy from the colonial era to the present: a critical analysis of international education policy in Canada
Bibliographic record
Abstract
Using Canada as a case study, we historically trace the imperial formation of whiteness supremacy in education from the colonial era to the current internationalisation of education in Western nations. In a global knowledge economy, knowledge has replaced resource extraction as a significant source of nation building. We argue that the internationalisation of education which is hosted by Western nations, positions English language and western education as globally superior, and perpetuates the imperial formations of inequality, hierarchization of difference and unequal rule. Drawing from scholarship on postcolonialism and whiteness, we argue that the race to recruit the best and the brightest to support the knowledge economies of the west has become a site to maintain imperial whiteness supremacy concealed in neo-liberal rhetoric while (re)producing the disparity between the global north and south, and between the global west and east.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.062 | 0.058 |
| Scholarly communication | 0.020 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".