Misunderstood, Overlooked, and Marginalized: The Construction of Jews and Antisemitism in EDI Policies and Plans in Canadian Higher Education
Bibliographic record
Abstract
Equity, diversity, and inclusion (EDI) is a leading framework for addressing social justice issues in Canadian higher education. After October 7, 2023, occurrences of antisemitic incidents have surged on campuses in Canada. Yet, antisemitism is often not included or minimally mentioned in the existing EDI frameworks. The task of the EDI policies and plans is to ensure equity, diversity, and inclusion for all historically, persistently, or systematically marginalized groups. We examine the ways in which current EDI policies and plans include antisemitism and Jewish identity, analyzing EDI policies and plans collected from 28 universities across Canada. The content analysis reveals three patterns: (a) marginalization of antisemitism, (b) construction of Jewishness as a religious identity, and (c) coupling of antisemitism and Islamophobia. We argue that, at a time of growing divisiveness, politicization, and misinformation, universities who are committed to EDI should create a truly inclusive campus for people from diverse backgrounds and positions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.016 | 0.020 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".