Monumental Panic: Reconciliation, Moral Regulation, and the Polarizing Politics of the Past
Bibliographic record
Abstract
In 2018, the City of Victoria, British Columbia, Canada removed a statue of Sir John A. Macdonald from the grounds of City Hall. As Canada’s first prime minister, Macdonald is both revered for the role he played in Confederation and vilified for enacting and promoting racist if not culturally genocidal policy initiatives aimed at destroying Indigenous cultures in the last part of the 19th century. Set in the context of truth and reconciliation politics playing out across the country, this article explains the removal of the monument and the social reactions it provoked, using the sociologies of moral panic and moral regulation. By focusing on one city council’s efforts to interpret and act on the moral imperatives associated with political reconciliation in post-colonial Canada, insights are provided into some of the practical challenges and potential contradictions that municipal governments can encounter when they adopt idiosyncratic strategies to atone for historical injustices in non-transitional democratic nations.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.036 | 0.148 |
| Scholarly communication | 0.019 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.001 | 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".