Canada as a Settler Colony on the Question of Palestine
Bibliographic record
Abstract
Canada as a Settler Colony on the Question of Palestine explores Canada-Palestine relations through a settler colonial lens. The authors argue that there are direct parallels between Canada’s settler colonial project and its support for the Israeli settler colonial dispossession of Palestinians. Chapters reflect on community politics and activism, migration, orientalism, and critical race theory. Among its unique contributions, the volume provides a fresh look at Canada’s foreign policy as informed and shaped by its own history of settler colonialism. The collection also illuminates the breadth and depth of Palestinian life in Canada. Throughout, the chapters are connected by common themes of settler colonial destruction, dispossession, segregation, and otherness, as well as accounts of people challenging those processes in search of a better and fairer world. The book will be of interest to scholars in Indigenous Studies, International Relations, Peace and Conflict Studies, Canadian Studies, Palestine Studies, and beyond. Contributors: Samer Abdelnour, Nadia Abu-Zahra, Rachad Antonius, Lina Assi, M. Muhannad Ayyash, Peige Desjarlais, Randa Farah, Azeezah Kanji, Maurice Jr. Labelle, Nadia Naser-Najjab, Emily Regan Wills, Mira Sucharov, Jeremy Wildeman. Foreword by Veldon Coburn.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.022 | 0.014 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".