Bibliographic record
Abstract
This autobiography tells the story of an indefatigable spirit who survived the Second World War, a doomed marriage, the murder of her father, rape, and the almost endless consternation of family problems. Author Dr. Nina Murray was born in St. Petersburg, Russia in 1913. As a child, she found herself part of the first of the Diaspora that marked the modern age. The Communist revolution stripped her family, Russian nobility, of their land, money, privilege, and title. Blessed with parents who were determined to overcome the devastating reversal of their fortunes, she found herself in England in the 1920's. There, she began the transformation from Russian Princess to professional English woman, and earned her medical degree in 1937. On her journey, Murray finds her life's love in her work, her daughter and an eight-year marriage to a Canadian admiral, and crosses the paths of other fascinating lives_some very well-known, others quite outrageous. Dr. Murray's story offers a valuable lesson to immigrants in any country, at any age, and deals with the necessity of absorbing one's new surroundings while clinging to one's roots.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.110 | 0.043 |
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 source (direct Gemma or distilled Codex), 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".