Bibliographic record
Abstract
Global in scope and a practical tool for students and teachers of history,Filmography of World History: A Select, Critical Guide To Feature Films That Engage The Pastincludes description and analysis of over 300 historical films. A companion to Grant Tracey'sFilmography of American History, this critical reference book selects movies that represent aspects of world history from the middle ages through the twentieth century. These films adopt as their subject a wide range of historical events, people and societies of Africa, Asia-Pacific, Europe and Canada, and Latin America. Films are arranged alphabetically, with cross referencing by geographic area, time period, and five themes: History as Biography; Crossing Cultures; Civil, International and Sectarian Conflict; Society: Modernization and Tradition; and Redefining Historical Narrative. Each film entry includes production data, current U.S. home videodistributors, geographical and time setting, plot description, and references to critical literature. Over half of the entries provide extended analysis of the historical interpretation the film brings to the screen.Filmography of World Historyargues for the potential of feature films to teach us about the past and its reconstruction in academe and popular culture. The book offers an historian's perspective on films as varied asArarat,Black Rain,Lin Zexu,Saladin,Winstanley,Judgment at Nuremberg,Distant Thunder,The Official Story,Cabeza de Vaca,Newsfront,Lumumba,Daresalam, andThe Great White Man of Lambaréné.
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 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.003 |
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".