My Dear Eve…: The Remaining Letters from Eve’s Rutherford File
Bibliographic record
Abstract
Throughout their lives, Ernest Rutherford and his wife Mary wrote and received many letters of a chatty, impersonal nature, many of which have previously been published. This article comprises a number of hitherto unpublished letters written by Mary Rutherford at the time of her husband’s terminal illness in 1937, and subsequently. The article also includes the full text of a letter written by Rutherford to his wife in 1914, a condensed version of which was included in Eve’s 1939 biography of Rutherford.ResuméTout au long de leurs vies, Ernest Rutherford et son épouse Mary ont écrit et reçu une grande quantité de lettres de nature impersonnelle et pleines de bavardage, dont plusieurs ont déjà été publiées. Cet article présente un certain nombre de lettres inédites écrites par Mary Rutherford à l’époque de la maladie qui allait emporter son mari en 1937, et au cours des années suivantes. L’article comprend également le texte intégral d’une lettre écrite par Ernest Rutherford à sa femme en 1914, dont une version abrégée a été publiée dans la biographie de Rutherford écrite par Eve en 1939.
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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.121 | 0.046 |
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".