The Experiential Embodied Feminist Antimilitarist Learning Hack: A Learning Journey Through Niagara’s War of 1812 Museological Sites
Bibliographic record
Abstract
In this Major Research Paper, I examine gendered representations of the War of 1812 at four significant cultural sites: the Niagara Falls History Museum, Lundy’s Lane Battlefield, Drummond Hill Cemetery, and Queenston Heights. I employed an experiential embodied feminist antimilitarist learning hack to view exhibits, sites, displays, and epitaphs. The overarching question that guided my research was: How does embodied feminist experiential learning intersect with the ways that gender and militarism are remembered and represented in War of 1812 museums and heritage sites in Niagara, Ontario? My research concluded that the way that the stories of the War of 1812 are told at these sites serves to perpetuate the hegemonic portrayals of war, including the celebration of violent and bloody combat, war as a male-dominated condition, and the conventional roles of men and women in wartime. My research demonstrates the need for change at these sites so visitors might understand the problematic ways in which gender and violence is presented with regards to the War of 1812. \n
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.025 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".