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Record W4390733124 · doi:10.7771/2832-9414.2027

Writing Centers and Neocolonialism: How Writing Centers Are Being Commodified and Exported as U.S. Neocolonial Tools

2024· article· en· W4390733124 on OpenAlexaff
Brian Hotson, Stevie Bell

Bibliographic record

Venue˜The œWriting center journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsYork University
Fundersnot available
KeywordsNeocolonialismComplicityCommodificationPolitical scienceScholarshipSociologyColonialismLawEconomy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0050.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.326
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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