The Comparative Study of Ethnic Minority Disadvantage
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
Ethnic minority disadvantage in the labour market has been a matter of growing concern in many developed countries in recent years. Discrimination on the basis of ascriptive factors, such as social origins or ethnicity, is generally regarded to be a source of economic inefficiency and waste. More importantly, it is a source of social injustice and social exclusion. This book explores ethnic inequalities in the labour market, particularly with respect to access to jobs. It examines whether ethnic minorities compete on equal terms in the labour market with equally qualified members of the charter populations and focuses on the experiences of the ‘second generation’, that is, the children of migrants who have themselves grown up and been educated in the countries of destination. In addition to the classic immigration countries of Australia, Canada, Israel, and the United States, the book also covers the major new immigration countries of Western Europe, such as Austria, Belgium, France, Germany, and Sweden, as well as South Africa.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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