Reclaiming Plaza Hutchison. A Counter-project to State-led Gentrification in Parc-Extension, Montreal
Bibliographic record
Abstract
Rooted in Parc-Extension, one of Montreal’s vibrant worker and immigrant neighborhood fighting for spatial justice, Reclaiming Plaza Hutchison proposes to rehabilitate a vacant industrial building owned by the city into decommodified community housing. Exploring surplus property as a vessel for visioning change from within, it attempts to redefine traditional urban planning towards an open process governed by local expertise and aspirations. The project stems from a collaboration with local organization Brique par Brique and a shared desire to formulate a reparative response to the current “unhoming.” As a first step in this process, the thesis Coproducing a Just and Resilient City investigates how locals meet the challenges of authoritarian planning and state-led gentrification by rallying around urban commons. It reveals a community working to preserve its cultural and collective motive, a territorial resilience woven beyond and against all the boundaries imposed by the speculative city. Onsite workshops and consultative activities therefore provide parameters for design outputs building upon existing mechanisms of coproduction and mutuality. A set of architectural interventions articulate new spaces for civic practices, social interaction as well as user agency within and around the housing block. They urge us to rethink urban territory through a vision of equitable resource sharing and restore Parc-Ex’s long-term stewards their right to the inner 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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".