Global Injustices of Colonial Schools: Educational Reparations and Representations of the Human
Bibliographic record
Abstract
Abstract Drawing connections between Indigenous boarding schools in North America and the expansion of colonial schooling worldwide, this chapter conceptualizes methods of re-engagement with the topic of reparations for communities who have been subjected to the consequences of colonial schooling. Models of colonial schooling instill education practices aimed at enforcing the assimilation of populations into dominant cultures while reinforcing globalized racializing hierarchies. The epistemic violence central to the conceptualization of the colonial school is a key component of this colonial technology and is reproduced within modern education systems throughout the Global South. Moving toward the interconnected articulation of reparative material and epistemic justice in education for American Indian and African American communities in the United States and post-colonial communities worldwide, the chapter aims to create openings in comparative and international education for addressing the colonial residues within modern education on local and global levels, recentering the foundational terms by which schools function and the solidarities necessary for repair.
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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 | 0.001 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".