Bibliographic record
Abstract
How did an ambitious British army officer advance his career in mid–eighteenth–century North America? What was the nature of political opportunism in an imperial system encompassing an old world and a new? This study examines the career of an Anglo–Irish–Acadian army officer, treating in considerable detail the network of old-world connections and patrons which at times facilitated his advancement. John Bradstreet was born in Nova Scotia and died in New York. He was a major participant in colonial North American military events ranging from the capture of Louisbourg in 1745 to the British campaign against Pontiac in 1764. Early in his career he became lieutenant–governor of St. John’s, Newfoundland, and eventually rose to the rank of major–general in the British army, while linking his military performance to a relentless pursuit of profit and preferment. He was a man consistently on the periphery of both English and American societies; yet his career reveals a great deal about the mid–eighteenth–century trans–Atlantic world and about the dilemma of proponents of Empire who were viewed with increasing suspicion in both mother country and colonies. The author draws upon British, American, and Canadian archival sources, taking advantage of Bradstreet’s prolific correspondence to support and develop his narrative.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".