Boundaries of Clan and Color: Transnational Comparisons of Inter-Group Disparity
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
1. Ashwini Deshpande and William Darity Jr. Boundaries of Clan and Color: An Introduction 2. Peggy A. Lovell Race, Gender and Regional Labour Market Inequalities in Brazil 3. Morton Stelcner Earnings Differentials Among Ethnic Groups in Canada: A Review of the Research 4. Patrick L. Mason Understanding Recent Empirical Evidence on Race and Labor Market Outcomes in the USA 5. Samuel L. Myers Jr. If Not Reconciliation, Then What? 6. R. Quinn Moore Multiracialism and Meritocracy: Singapore's Approach to Race and Inequality 7. Ashwini Deshpande Recasting Economic Inequality 8. Jacob Meerman The Mobility of Japan's Burakumin: Militant Advocacy and Government Response 9. Faridah Jamaluddin Malaysia's New Economic Policy: Has it Been a Success?
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 | 0.001 | 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 | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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