Bibliographic record
Abstract
This chapter highlights the troubles that Sam Whiting encountered before and after he arrived in Nassau. It presents Whiting's depressing observation he had made in his short time in Nassau: “There is a strong feeling in favor of the rebellion army among British officials and merchants.” The chapter also introduces merchant Henry Adderley, the soon-to-be most powerful man in the Bahamas. Though it was early in the game, Whiting had already recognized one of the key features of the way Adderley and others would operate. By using his pre-war connections in ports like Baltimore, Philadelphia, New York, Saint John, New Brunswick, and Halifax, Nova Scotia, Adderley would secure goods from the North and from England for shipment to the Confederacy and use these ports as false destinations on the manifests of the ships he sent to Charleston, Wilmington, and Savannah. Ultimately, the chapter illustrates the importance of Lewis Heyliger in Nassau. It analyzes the critical part he played in the Great Carnival and the business dealings he made in the Bahamas.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".