Education, postcolonialism and disruptions
Bibliographic record
Abstract
Finally, a collection that brings needed scope, focus, and diversity to postcolonial studies in education. Its authors deliver pertinent, unsettling analysis of pervasive colonial legacies, matched by postcolonial conceptions of knowledge and culture, as well as exciting approaches to teaching and learning. The welcomed volume offers a rare gobally distributed set of perspectives that establish the currency of postcolonial perspectives as both critically productive and forward-looking ways of knowing. John Willinsky, Professor in Languages and Literacy Education: Pacific Press Professor in Literacy and Technology, University of British Columbia, Canada. This is a fine collection of papers, from some leading educational scholars. They argue that the contemporary corporatised policies of education such as international education limit the possibilities of transformative practice. They demonstrate how the local (the national) and the global (the imperial) are interconnected phenomena, acting upon one another to construct indigeneity and racialised identities, and even hybridation, in ways that engender inequalities, restrict human rights, and infridge on the democratic and civil rights of the colonised and the marginalised. At the same time, they point to the possibilities of resistance, conditions that provide pedagogic opportunities for the creation of counter-hegemonic ideas, expressions, practices and structures. This book is highly recommended. Fazal Rizvi Professor in Educational Policy Studies, University of Illinois, Urbana- Champaign, USA
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".