Contemporary anti-racist struggle and Lenin’s thought: The enduring bond between racism and imperialism
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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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.053 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".