How might we better support refugees’ admissions to universities? Reflections from Uganda, Edinburgh, and Oxford
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In this reflection, we draw on our findings, experiences, and recommendations from supporting admissions processes for refugees and asylum seekers into higher education across universities in Uganda, Edinburgh, and Oxford. We reflect on the practical, institutional, and systemic barriers that displaced populations face in gaining admission to universities (beyond disrupted secondary schooling and a dearth of financing and scholarship options, which are most often discussed in this context), and detail what factors we saw as key to enabling and driving institutional change in these spaces. We share learnings, successes, and failures from our attempts to address these challenges across multiple different institutional environments in the hope that these may prove instructive for similar initiatives elsewhere, as well as how we might begin to build a consensus around the need for these shifts in often ‘refugee blind’, sometimes resistant, sites of higher education.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it