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
Introduction: Towards a Global History of National Historiographies S.Berger The Power of National Pasts: Writing National History in Nineteenth and Twentieth Century Europe S.Berger Seven Narratives in North American History: Thinking the Nation in Canada, Quebec, and the United States A.Smith The Mirror of History and Images of the Nation: The invention of a national identity in Brazil and its contrasts with similar enterprises in Mexico and Argentina E.de Freitas Dutra Writing the Nation in Australia: Australian Historians and Narrative Myths of Nation M.Hearn Between Myth and History: the Construction of a National Past in Modern East Asia Q. E.Wang Writing the Nation in India: Communalism and Historiography R.Seshan Writing the Nation in the Arabic-speaking World B.Schaebler Writing National and Transnational History in Africa - the Example of the 'Dakar School' I.Thioub Select Bibliography
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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