The Oppressor’s Matrix: McGill University’s Arab-Israeli Conflict, 1963-1973
Bibliographic record
Abstract
After the Israel-Hamas war erupted in October 2023, McGill University in Montreal was one of many North American institutions where students set up encampments in what they described as solidarity with the Palestinian cause. Some have linked this phenomenon to prior student movements, such as those during the Vietnam War or Apartheid in South Africa. But the earliest demonstrations at McGill associated with the Arab-Israeli conflict occurred during Quebec’s Quiet Revolution (1960-1970), a time of significant upheaval in the province. This included unprecedented unrest at McGill: in 1969, ten thousand people marched in “Operation McGill Francais,” a rally that was as much about the French language as it was about anti-colonial revolution. Focusing on this incident, a turning point in Quebec’s anti-imperialist movement, this paper considers the origins of Quebec-Palestine solidarity and analyzes the phenomenon’s impact on McGill–including its Jewish students. Understanding this historical context can shed light on the recent sensitivity of the Israel / Palestine debate at McGill and offer insight into the wider historiography of political tensions on university campuses.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.053 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".