Contemporary anti-racist struggle and Lenin’s thought: The enduring bond between racism and imperialism
Why this work is in the frame
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Bibliographic record
Abstract
This commentary is in response to Joe Pateman's article on Lenin, Imperialism, and Racial Liberation, presented in a Marxist reading group at York University in 2024, wherein the discussion centred on the insights provided by Lenin on imperialist racism. Our combined commentary on Pateman's work calls on left movements to challenge the ideological superstructures that reproduce (and legitimate) imperialist power, confront the imperialist root of racist realities within left strategy, and utilize the theoretical tools provided to us by Lenin in our contemporary struggles – updating them for our contextual realities which differ from Lenin's time, despite the enduring power of Lenin's work. As such, we agree with Pateman's analysis that Lenin is still relevant to anti-racist struggles today and that the struggle against racism is necessarily the struggle against imperialism, and vice versa.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it