Alluvial Zones of Decolonizing Internationalization of Higher Education
Bibliographic record
Abstract
Universities play a critical role in the “alluvial mixing” of Indigenous and Western knowledges, but at the same time they are reluctant to dismantle structures that support their ongoing epistemic ignorance, epistemic biases, and epistemic dominance and are resistant to dismantle hierarchies that maintain the status quo (Marker, 2019). Decolonization and internationalization of higher education does not exist in separate realities, but exists in alluvial third spaces that are often turbulent, contested, and contradictory. This article encourages researchers, faculty, and staff to rethink assumptions about long-standing, deeply-rooted policies, practices, and structures of international student recruitment and enrolment that are characterized by dominating neocolonial values and priorities and to reimagine the practice of recruiting international students and competing in the global international student market by centering primacy of place where “land is not a soulless commodity” to be exploited and profited (Marker, 2019).
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".