Bibliographic record
Abstract
Robert Rogers was more renowned in his own time as a military leader than as a writer, leading a successful colonial militia known as "Rogers' Rangers" during the French and Indian War (1754-63). Off the battlefield, his forays into authorship were primarily dedicated to cultivating this image of martial achievement; he wrote two reasonably successful books on North America, one a broad historical account of the land and the Indigenous people and the other a collection of his own journals and firsthand observations. The review of his A Concise Account of North America (1765) in the Critical Review suggests that "the picture which Mr. Rogers has exhibited of the emperor Ponteack is new and curious, and his character would appear to vast advantage in the hands of a great dramatic genius." His subsequent dramatic work Ponteach, or the Savages of America: A Tragedy (1766) was panned by critics and was most likely never performed. This work has received increased attention in recent years because of its singular and sympathetic depiction of its First Nations hero, a fictionalized version of the real-life Ottawa leader Pontiac. This edition, edited by Tiffany Potter, is an important resource for studies in eighteenth-century British colonial representations, Indigenous studies, and work on transatlantic culture and literature.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".