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
On 11 February 2010, the managing editor of Twentieth-Century British History, Professor Duncan Tanner, died suddenly at the age of 51. In this issue, we offer two appreciations of Duncan’s life and work, the first by Peter Clarke, his thesis supervisor, the second by Sian Nicholas and Stephen Brooke, his co-editors at Twentieth-Century British History between 2007 and 2010. The unexpected death of Duncan Tanner at the age of only 51, from a heart condition of which few were aware, came as a great shock to all of us who knew him. He was one of the most respected historians of his generation, known not only in his native Wales or in Great Britain but internationally. An initial stolidity of manner belied his underlying warmth, just as his sheer technical accomplishment as a scholar sometimes masked the full originality of his insights. He produced ground-breaking work, especially on the rise of the Labour Party, that has fundamentally affected the way we understand its history.
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.001 |
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