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
How do dictionaries of national biography fit into the context of transnational historical studies? This question is particularly apposite at a time when the very idea of transnationalism is being challenged by the resurgence of atavistic and frequently intolerant forms of nationalism, exemplified in varying degrees by the British withdrawal from the European Union, the election of Donald Trump as President of the United States of America, the politics of leaders such as Vladimir Putin, Tayyip Erdogan, and Viktor Orbn, and the rise of extreme right-wing parties in western Europe. As the post-World War II liberal order threatens to unravel, it is perhaps worthwhile remembering that there is nationalism, and then there is nationalism. 'When nationalism stunts the growth, and embitters the generous spirit which alone can produce generous and enduring fruits of literature', wrote the Irish Canadian politician and poet Thomas D'Arcy McGee in 1867, 'then it becomes a curse rather than a gain to the people among whom it may find favour, and to every other people who may have relations with such a bigoted, one-sided nationality.' 1 The kind of nationalism that McGee endorsed had been expressed by his mentor, Charles Gavan Duffy, more than two decades earlier:
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 | 0.000 | 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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