The Roma in European Higher Education
Bibliographic record
Abstract
<JATS1:p>Today, between 10 and 12 million Roma live in Europe, comprising the continent’s largest ethnic minority. However, only 1% participate in higher education. Although the Roma are widely dispersed across Europe, and beyond, they face similar social, political, and economic challenges throughout the continent. A major site of struggle has been access, attendance and achievement in the education sector for Gypsies, Roma and Travellers (GRT). This groundbreaking text explores the Roma in higher education, a topic of great importance since higher education is considered to be a significant pathway out of poverty and to social mobility.</JATS1:p> <JATS1:p>Why are participation rates so low? What are the barriers and what are the enablers? This edited collection brings together authors from diverse national and organisational locations including academics, activists and policymakers from Canada, Chile, Finland, Greece, Hungary, Macedonia, Poland, Romania, Serbia, the UK, and the USA. They share and critically analyse contemporary knowledge on research, policies, practices and interventions to promote Roma participation in higher education in a range of European locations. They cover key topics including the representation of Roma communities as living on the margins, but also racism, anti-Gypsyism, Romaphobia, hate crimes and discriminatory practices. The book offers insights into how to fight discrimination and re-distribute higher educational opportunities without objectifying the Roma or representing these rich and diverse communities merely as powerless victims.</JATS1:p>
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".