Bibliographic record
Abstract
Stunning epic history of the first Virginia Colony and the true story of Pocahontas, to coincide with the colony's 400th anniversary in 2007. Four centuries ago, and fourteen years before the Mayflower, a group of men-led by a one-armed ex-pirate, an epileptic aristocrat, a reprobate cleric and a government spy-left London aboard a fleet of three ships to start a new life in America. They arrived in Virginia in the spring of 1607, and set about trying to create a settlement on a tiny island in the James River. Despite their shortcomings and against the odds, they built Jamestown, a ramshackle outpost which laid the foundations of the British Empire and the United States of America. Drawing on new discoveries, neglected sources and manuscript collections scattered across the world, Savage Kingdom challenges the textbook image of Jamestown as a mere money-making venture. It reveals a reckless, daring enterprise led by outcasts of the old world who found themselves interlopers in a new one. It charts their journey into a beautiful landscape and sophisticated culture that they found both ravishing and alien, which they yearned to possess, but threatened to destroy. It shows them trying to escape the 'Savage Kingdom' that their homeland had become, and endeavoring to build 'one of the most glorious nations under the sun'. An intimate story in an epic setting, Woolley shows how the land of Pocahontas came to be drawn into a new global order, reaching from London to the Orinoco Delta, from the warring kingdoms of Angola to the slave markets of Mexico, from the gates of the Ottoman Empire to the foothills of the Blue Ridge Mountains.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".