Bibliographic record
Abstract
A wildly entertaining historical adventure, deep inside the crucible in which America was forged. Fire Along the Sky is an epic tale of adventure and bawdy intrigue among whites and Indians, a stirring evocation of the wild American frontier in the eighteenth century. Through the eyes of its irreverent narrator, Shane Hardacre, a young Irishman with a passion for women and adventure, we are caught up in the world of Pontiac, the great Ottawa warchief who rallied the Indian nations to a war of resistance, and of Sir William Johnson, the man of two worlds who made peace between peoples divided by race and religion. This edition includes the love letters of Lady Valerie D'Arcy, Shane's soulmate, a sensual, worldly, and intuitive lover who delivers a wry commentary on his amorous escapades. "Splendidly researched and wildy amusing historical adventure... Tom Jones as The Deerslayer." - Kirkus Reviews "Robert Moss gives us a novel whose depth is close to that one tends to find in nonfiction. This is a splendid work which will bring pleasure to all readers." - New England Review of Books "This splendid piece of storytelling offers the added delight of a likely sequel." - Publishers Weekly "One of the more venturesome and compelling authors in the field." - Fort Worth Star-Telegram "Mr. Moss is a suave writer who knows how to create believable characters and take the reader along with them." - The New York Times Book Review "Robert Moss is an accomplished storyteller who knows how to lay down a firm foundation of fact." - Raleigh News and Observer "The author of several excellent modern-day thrillers has turned to pre–Revolutionary War America and the results are wonderful." - Rocky Mountain News "Well researched, well crafted, a splendid read." - Morris L. West
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.184 | 0.088 |
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".