Contested Histories in Public Space
Bibliographic record
Abstract
Contested Histories in Public Space brings multiple perspectives to bear on historical narratives presented to the public in museums, monuments, texts, and festivals around the world, from Paris to Kathmandu, from the Mexican state of Oaxaca to the waterfront of Wellington, New Zealand. Paying particular attention to how race and empire are implicated in the creation and display of national narratives, the contributing historians, anthropologists, and other scholars delve into representations of contested histories at such “sites” as a British Library exhibition on the East India Company, a Rio de Janeiro shantytown known as “the cradle of samba,” the Ellis Island immigration museum, and high-school history textbooks in Ecuador. Several contributors examine how the experiences of indigenous groups and the imperial past are incorporated into public histories in British Commonwealth nations: in Te Papa, New Zealand’s national museum; in the First Peoples’ Hall at the Canadian Museum of Civilization; and, more broadly, in late-twentieth-century Australian culture. Still others focus on the role of governments in mediating contested racialized histories: for example, the post-apartheid history of South Africa’s Voortrekker Monument, originally designed as a tribute to the Voortrekkers who colonized the country’s interior. Among several essays describing how national narratives have been challenged are pieces on a dispute over how to represent Nepali history and identity, on representations of Afrocuban religions in contemporary Cuba, and on the installation in the French Pantheon in Paris of a plaque honoring Louis Delgres, a leader of Guadeloupean resistance to French colonialism. Contributors . Paul Amar, Paul Ashton, O. Hugo Benavides, Laurent Dubois, Richard Flores, Durba Ghosh, Albert Grundlingh, Paula Hamilton, Lisa Maya Knauer, Charlotte Macdonald, Mark Salber Phillips, Ruth B. Phillips, Deborah Poole, Anne M. Rademacher, Daniel J. Walkowitz
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.065 |
| Scholarly communication | 0.029 | 0.020 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".