Toppling statues? Complicity, whiteness and reckoning in comparative and international education
Bibliographic record
Abstract
Recent scholarship in comparative and international education (CIE) has witnessed the emergence of two competing viewpoints on the history of the field. One draws increasing attention to the ways CIE has been implicated in colonial projects and how the underpinning racist ideologies persist in the field today. The other perspective rejects this argument on the basis that it engages with ‘identity politics.’ While discussions of racism, coloniality and the politics of representation have been mainstreamed in other areas of educational research, the reaction it has engendered in CIE offers insights into the workings of the field. In this paper, we draw upon intellectual resources theorising ignorance, white intermediaries and affect to better understand whiteness as an organising principle in the disciplinary identity of CIE. These tools offer possibilities for moving beyond a defensive response to decolonial critiques towards more dialogic and reparative histories of CIE.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".