Scents of Place: The Dysplacement of a First Nations Community in Canada
Bibliographic record
Abstract
Here I explore how the experience of place at a First Nations reserve in Ontario, located in the middle of Canada's "Chemical Valley," is disrupted by the extraordinary levels of pollution found there. In so doing, I give special attention to air pollution and residents' responses to associated odors - that is, to the sense of smell. Focusing on a unique feature of smell - that it operates primarily through indexicality - I draw on C. S. Peirce's semiotic framework to highlight ways in which perception of odors entails embodiment of the perceived substance, thus connecting self and surroundings in profound and transformative ways. Ultimately, I argue that the local smellscape, while having reinforced a sense of positive emplacement on the reserve in the past, is now, because of the constant presence of toxic fumes, instilling in residents a profound sense of alienation from the ancestral landscape - a condition I call "dysplacement."
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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 | 0.001 |
| 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 | 0.017 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".