Palestine Is Freeing Us All Before Palestine Is Free Comment on "The Rhetoric of Decolonizing Global Health Fails to Address the Reality of Settler Colonialism: Gaza as a Case in Point"
Bibliographic record
Abstract
This commentary piece on the editorial piece by Eivind Engebretsen and Mona Baker entitled "The Rhetoric of Decolonizing Global Health Fails to Address the Reality of Settler Colonialism: Gaza as a Case in Point" explores the interconnected contexts of settler colonialism affecting health in occupied Turtle Island (also known as Canada) to Palestine. Addressing true and authentic health equity work means sharpening our politics and rhetoric beyond decolonizing "global health" as epistemically colonial and towards meaningful solidarity work and framings of liberatory or revolutionary health. There is a moral obligation to contextualize and historicize, rather than depoliticize. This ultimately means supporting through unwavering solidarity for collective liberation through the Indigenous resistance and resurgence movements in Turtle Island to Palestine if we are serious about decolonizing global health. Moving towards rhetoric and actions for collective liberation must be the focused goal of all who care deeply about true and authentic health equity work towards just and life-affirming systems for health for all.
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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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.014 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.017 | 0.037 |
| Insufficient payload (model declined to judge) | 0.004 | 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".