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. Introduction: Democracy and Cultural Diversity 2. Unity versus Diversity in Canada under Trudeau and Chretien 3. Political Management of Diversity in Post-Revolutionary Mexico 4. Constitutional Reform and Ethnic Rights: Latin America 5. The Politics of Identity in Democratic Spain: Catalonia and the Basque Country 6. From Dicey to Devolution: Managing Territorial Diversity in Britain 7. Switzerland: A Paradigm in Evolution 8. Language, Ethnicity and Nationality in Belgium 9. Language and National Unity in Slovakia 10. Ghana in the 1990s: Un Beau Voyage? 11. Democracy, Federalism and Ethnic Rivalry in Nigeria 12. Lebanon 13. India: Democracy and Dissent 14. Malaysia: Dilemmas of Integration 15. Dealing with Difference: Four Models of Pluralist Politics
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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