Bibliographic record
Abstract
Abstract Before the State Department On 11 April 1893, when Dean Gooderham Acheson was born in Middletown, Connecticut, around thirty miles south of Hartford, Grover Cleveland was president. When Acheson finished his undergraduate education at Yale, Woodrow Wilson was in the White House. In between, insulated from depression and war, young Acheson lived a mostly charmed life, wrapped in a mother’s love and steeled for later tests by a father’s rigor. His mother, born Eleanor Gooderham, was the daughter of a wealthy banker and distiller in Toronto, where she met Dean’s father, E. (Edward) Campion Acheson, a Scottish-Irish immigrant who became an Episcopal clergyman, Middletown’s rector, and Bishop of the Connecticut Diocese. Son of a professional soldier who fought in the Crimean War, Edward distinguished himself in combat in the 1883 Riel Rebellion and fighting Indians in 1885. After this University of Toronto graduate married Miss Gooderham, they moved to Connecticut, where Dean, his younger brother Edward, and sister Margot lived their early days.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.007 |
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".