Bibliographic record
Abstract
‘A great many novels nowadays are just travel books’, Ivy Compton-Burnett grumbled to Barbara Pym in 1960. ‘Olivia has just published one about Bulgaria.’ 1 To Compton-Burnett, as Neville and June Braybrooke say in their 2004 biography of Olivia Manning, ‘Abroad was abroad’ ( Manning , 145) so she hadn’t noticed that the setting of The Great Fortune , the first volume in what was to become the Balkan Trilogy, is in fact Romania. Still, she had a point. Journeys, voluntary and enforced, are big in Manning’s work, as they had been at crucial points in her life, and the painter manqué in her always made the most of topographical detail. An element in the success of Fortunes of War , the 1987 BBC television version of her two trilogies set in the Second World War, was its sheer visual sumptuousness: the arrival of the train carrying the young British Council teacher Guy Pringle and his new wife Harriet into Bucharest; the Athens settings of Harriet’s romance with one British officer and her scrambles up the Pyramids with another; the North African desert; Alexandria, Luxor, Damascus … The TV series, combined with some well-timed Virago reissues, was crucial in bringing a wider readership to Manning’s work. A quarter of a century after her death, the Braybrookes’ biography provided a further opportunity to look at her career and at what her reputation is based on. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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How this classification was reachedexpand
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) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".