Activating smell’s political potential through smellwalk route design
Bibliographic record
Abstract
This text unravels the collaborative design approach we—Ph.D. researcher Lauryn Mannigel, science and technology studies scholar Christy Spackman, cultural geographer Kevin McHugh, and visual artist and Studio Arts instructor Vicky Sabourin—used to create the route of a guided smellwalk for Montréal’s Quartier Concordia, exploring the political potential of smell. Drawing from the perspectives of practicing artists who value smell’s ephemerality, contextuality, and materiality, this text outlines the development of the smellwalk route, where we tested Mannigel’s conceptual curiosity in designing a path around the Henry F. Hall building—a building with a contentious political past—and Sabourin’s familiarity with the smells of frequently encountered spaces at Quartier Concordia. By exploring the roles of geographical proximity and distance, spatial familiarity and unfamiliarity, and the recollection of smell experiences—creatively balancing preconceived ideas with chance and pragmatics—our creative process develops a practice-led framework for olfactory encounters and public discussions that may activate the political potential of smell.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".