Reconciliation after Genocide in Canada: Towards a syncretic model of democracy
Bibliographic record
Abstract
Despite recent claims by Saul (2008) that Canada's federal and provincial systems of government, including its justice systems, have been strongly influenced by Aboriginal peoples, this article advances that any influence has been largely coincidental. A detailed critical appraisal of Saul's work reveals a romanticized glossing over of Aboriginal–settler history rather than a detailed engagement with it. Taking Saul's purported goals rather than his analysis as a starting point, this article seeks to examine ways in which provincial and federal government legislative institutions might better incorporate (some) Aboriginal conceptions of power, justice, and decision-making. In so doing it argues for a process of “syncretic democracy,” which includes symbols, ceremonies, guaranteed Aboriginal seats in existing institutions, potentially new institutions, and a much larger process of deliberation around how best to indigenize (and change) Canada's institutions.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.044 | 0.054 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".