A Monument’s Work is Never Done: The Watson Monument, Memory, and Forgetting in a Small Canadian City
Bibliographic record
Abstract
Private Alexander Watson died a few days after being wounded during a decisive battle in the Northwest Rebellions of Canada in 1885. A year later, a monument to his memory was erected in front of city hall in his hometown of St. Catharines in the municipal region of Niagara. Our interest in Watson’s monument is in understanding the role of material culture in the fostering of popular memory. On one hand, the production side of this equation has been well considered. The mnemonic and didactic potential of monuments is used by elites in order to build a consensual understanding of the past and to legitimate claims to authority and privilege. On the other hand, the consumption side of public memory is less well understood. This paper seeks to identify how the people of St. Catharines have engaged the monument commemorating Watson’s service and his death. We use archival research and surveys in order to understand the monument’s relationship to residents of the city.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.063 | 0.023 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".