Myron J. Smith, Jr. After Vicksburg. The Civil War on Western Waters, 1863- 1865 by Tracie Grube-Gaurkee
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord Changes in shipbuilding and sharpened accuracy in charting allowed capitalism to blossom, and those historically active traders in Venice were ready to take every advantage to prosper -even more than they had when Constantinople was in Orthodox hands.The lay priest Mauro and the other Camaldolese religious (a monastic order of hermits) at the San Michele monastery on an island off Venice who worked for years on the map were cartographers for hire.Mappamundi weren't for the masses; they were commissioned.Mauro's original was for Venice and there were two copies.One of those went to the King of Portugal, eager to grow his trading options in Atlantic Africa."The Indian Ocean and its islands and coastlines as drawn by Fra Mauro were important because this is the area of the spice trade from which Venetian merchants had made their wealth."Outside of Marco Polo and Nicolo de Conte, to whom Small gives great credit, that ocean was "virtually unknown."(132-33) The map also places Japan off Asia for the first time.Small's achievement in Dark Sea is remarkable since she was working from "vague and little documented" evidence on how the map was built and Mauro's life.With those two challenges as given, her narrative correctly carries a shroud of mystery through the work.Crucial to the telling of this story is Small's recognition from cover to cover of text is the human desire to define a sense of place in their lives.(92) Dark Sea is directed to the cartographer in us all-academic, layman, sailor, landsman.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.059 | 0.024 |
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".