Bibliographic record
Abstract
This collection contains a multitude of materials written by Ferdinand C. Latrobe and relating to Mr. Latrobe. Latrobe was Mayor of Baltimore for seven terms, spanning the last quarter of the nineteenth century. Latrobe was active in Maryland politics and also served in the Maryland House of Delegates for several terms throughout his career. This collection contains materials ranging from personal essays Mr. Latrobe wrote when he was a schoolboy to correspondence during his terms as Mayor of Baltimore. He was an avid recorder of his daily life, which is contained in twenty-four full diaries. The diaries date from 1888 to the year of his death, 1911, the only diary that is incomplete. There are as many other journals where Latrobe recorded accounts, memos, daily appointments, and notes and figures. There are many documents concerning a dispute between locomotive engineers, Ross Winans and Henry Tyson, in 1856 and 1857. None of these documents are dated but the dispute has been well-documented by historians of the railroad industry. The collection of the papers and diaries of Ferdinand Latrobe span a great part of his life and are well-fitted for many research interests. Mr. Latrobe had many interests, 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.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.404 | 0.276 |
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".