Angela C. Sutton, Pirates of the Slave Trade: The Battle of Cape Lopez and the Birth of an American Institution by John S. Sledge
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord both ships as they would look at sea (11, 37).Furthermore, the concept of including such a scenario would work better if ones were provided for the other addressed classes in a separate section.The addition of a British versus German and Soviet versus German would further highlight the differences in designs and bolster the effectiveness of the existing scenario in addressing strengths and deficiencies between the creations of the various adversaries.All in all, Super-Battleships of World War II is a useful introduction into the abandoned, heavy capital ship designs of the Second World War's main combatant nations.Stille is able to provide comparable data or reasonable projections for the key aspects of each proposed vessel along with the reasoning behind their abandonment.The combination of period images and profile drawings allows one to visualize the changes meant to occur with each design in comparison to their predecessors, while information tables allow for a similar comparison between each type.Although there is room for improvement, or expansion, Super-Battleships does a good job of exposing those unfamiliar with the designs to their concept and offers useful depictions for those interested in modeling warships that never made it far beyond the drawing board.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".