Conquistador Settler-colonialism & the Crises of Migrant Muslim Complicity
Bibliographic record
Abstract
Many migrant Muslims to “conquistador settler-colonial” U.S./Canada are driven to become good – settlers because of the devastating imperialist conditions reaped upon our original homelands. However, no Muslim political-theological works address Indigenous struggles or seriously engage settler-colonial studies. Migrant Muslims assume that the U.S./Canada are democratic-secular despite their animation by white-supremacist religious doctrines as Manifest Destiny. This contribution addresses the Qur’anic bases for a globally applicable decolonial, anti-statist/capitalist, social justice, Islam or what I refer to as Anarcha-Islam Drawing on the Qur’anic perspective of ethical-political responsibilities of Muslim hijra (migration), I argue how non-Black migrant Muslims in exile must seriously re-examine their ethical-political commitments and construct mutual alliances with Indigenous and Black peoples in their demands for land’s repatriation as well as reparations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".