Writing Centers and Neocolonialism: How Writing Centers Are Being Commodified and Exported as U.S. Neocolonial Tools
Bibliographic record
Abstract
In this paper, we explore the complicity of writing centers in the Global North in global neocolonialism despite its resounding rejection within Western writing center scholarship, in which Romeo García contends that writing tutors can be “decolonial agents.” We show that higher education is used by governments in the Global North as a neocolonial tool and situate international U.S. writing center initiatives within this context. Writing centers have remained complicit in global neocolonialism involving the commodification and exportation of American English as well as Western-style institutions, curricula, and pedagogies. This is most explicit in recent writing center initiatives undertaken by the U.S. Department of State in Latin America, Eastern Europe, and Central and Southeast Asia. Our analysis of the IWCA and the global community of writing center organizations reveals that few institutions in the field are well positioned to address this important issue. Indeed, the IWCA has remained silent on the complicity of writing centers in the Global North in neocolonialism despite the resounding rejection of neocolonialism within the writing center community.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.013 | 0.022 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".