Decolonizing the evidence‐based education and policy movement: revealing the colonial vestiges in educational policy, research, and neoliberal reform
Bibliographic record
Abstract
There is a growing body of literature discussing evidence‐based education, practice, policy, and decision‐making from a critical perspective. In this article, drawing on the literature and policy documents related to evidence‐based education in the USA, Britain, and Canada, I join this critique and offer an anticolonial perspective. I argue that proponents of evidence‐based education unknowingly promote a colonial discourse and material relations of power that continue from the American‐European colonial era. I posit that this colonial discourse is evident in at least three ways: (1) the discourse of civilizing the profession of education, (2) the promotion of colonial hierarchies of knowledge and monocultures of the mind, and (3) the interconnection between neoliberal educational policies and global exploitation of colonized labor. I conclude with the decolonizing implications of revealing some of the colonial vestiges in educational policy, research, and neoliberal reform.
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 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 | 0.114 | 0.115 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.015 | 0.208 |
| Scholarly communication | 0.039 | 0.030 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.014 | 0.024 |
| Insufficient payload (model declined to judge) | 0.001 | 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".