Bibliographic record
Abstract
This authoritative, state-of-the-art reference work provides the first systematic review to date of how sociologists have studied the relationship between race/ethnicity and educational inequality in eighteen different national contexts: Argentina, Australia, Austria, Belgium, Brazil, Canada, China, Cyprus, Finland, France, England, Germany, Ireland, Japan, Russia, South Africa, the Netherlands and the USA. Using a similar, comprehensive literature review methodology, national experts critically review how sociologists have studied race and ethnic inequalities in education over the last thirty years. The analysis focuses on the main research traditions that developed over time and their relationships with developments in social policy and social thought. This book ultimately integrates the findings of the national reviews and maps out new directions for future research. Additionally, the editors explore how national contexts of race/ethnic relations shape the character and content of educational inequalities. Global in its perspective and definitive in content, this one-stop volume will be an indispensable reference resource for a wide range of academics, students and researchers in the fields of education, sociology, race and ethnicity studies and social policy.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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".