Clash of Empires: The British, French & Indian War, 1754-1763
Bibliographic record
Abstract
The contributing editors encourage readers to suggest representations of history in American public culture that might be reviewed. In addition to continuing coverage of museum exhibitions, they are interested in covering living history projects, historical pageants and reenactments, memorials, historic preservation projects, and virtual museums. Please contact: Kym S. Rice Museum Studies Program George Washington University 2035 F St., NW Washington, DC 20052 <[email protected]> Benjamin Filene Department of History University of North Carolina, Greensboro P.O. Box 26170 Greensboro, NC 27402 <[email protected]> We would like to thank the American Association for State and Local History for providing information on the work of its members. “Clash of Empires: The British, French & Indian War, 1754–1763.” Organized by the Historical Society of Western Pennsylvania, 1212 Small-man St., Pittsburgh, PA 15222-4200. Traveling exhibition, May 1, 2005–April 23, 2006, Senator John Heinz Pittsburgh Regional History Center, Pittsburgh, PA 15222; May 18–Nov. 12, 2006, Canadian War Museum, Ottawa, Ontario, Canada K1R 1C2; Dec. 15, 2006–March 15, 2007, S. Dillon Ripley Center, Smithsonian Institution, Washington, DC 20560. 6,300 sq. ft. Scott Stephenson, curator; David Halaas, project director; Eisterhold Associates, exhibition design; Gerry Embleton, models; Fred Anderson, consultant.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".