Urban commemorations of indigenous peoples: Montreal's persistence in centring settler stories
Bibliographic record
Abstract
En 2020, la ville de Montréal a proposé une nouvelle stratégie de réconciliation avec les peuples autochtones afin d'accroître la visibilité des peuples autochtones et de soutenir leurs développements culturels dans l'environnement urbain. Cependant, Montréal demeure une ville colonialisme de peuplement ; les processus de dépossession, d'effacement et de marginalisation sont ancrés dans ses politiques urbaines. Compte tenu de ce contexte, comment deux des sept objectifs déterminés - accroître la visibilité et le développement culturel - s'intègrent-ils dans le paysage commémoratif municipal autochtone actuel? Cette thèse s'interroge sur ce que les commémorations visuelles de Montréal (un résultat du colonialisme de peuplement) révèlent de sa vision des peuples autochtones. Les résultats explorent la façon dont la ville commémore les peuples autochtones, leur histoire et leurs liens avec les terres non cédées dans le paysage urbain. Les commémorations autochtones à Montréal continuent de reproduire un regard colonial colonisateur qui fige les peuples autochtones lors des premières rencontres. Cela alimente les discours dominants qui dissocient les peuples autochtones des milieux urbains contemporains. L'absence de commémorations authentiques décrivant la présence et les histoires complexes des Autochtones constitue une autre couche d'" invisibilisation ". Bien que les nouvelles tactiques de commémoration de la ville soient plus progressistes et corrigent parfois la rhétorique la plus déshumanisante des anciennes commémorations, elles continuent de centrer les récits des colons qui conviennent aux Montréalais blancs. In 2020 the City of Montreal adopted a new Strategy for Reconciliation with Indigenous Peoples with the goal of becoming a ‘metropolis of reconciliation.’ One strategic objective identifies commemoration as a means towards meeting this goal by highlighting the memory, history and heritage of Indigenous Peoples in public spaces. Taking as a premise that commemoration is an intentional act of recognition and plays an important role in the public memory and that commemorations are never neutral and often reproduce dynamics of power, this thesis asks what commemorations tell us about the City of Montreal’s narrative of Indigenous Peoples in the urban environment? Importantly, this thesis also asks how, if at all, this narrative has evolved through time. Findings support the argument that although recent recognitions have evolved from centring the colonizing history of Montreal to focusing more on Indigenous Peoples, commemorations continue to support a narrative that serves the settler city of Montreal.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".