Bibliographic record
Abstract
We propose embodied multisensory listening as a methodology of engaging with, and listening to, the complex multispecies relations of ruderal ecologies via our collaborative project in which we followed the path of the Line 3 petroleum oil sands pipeline from Edmonton, Alberta to Superior, Wisconsin in August 2022, enacting close engagement with the ruderal plant species that grow atop the overturned earth of this intercontinental site of colonial extractive infrastructure. Ruderal ecologies refer to the more-than-human constellations of life that form in human modified environments that are not purely conditional to any form of human action: even as certain human groups affect change to the earth both geologically and climatically through networked systems of extraction and exchange that span the Earth through colonialism and capitalism. Working from Nigerian feminist theorist Oyeronke Oyewumi proposal of the term “world-sense,” xwélmexw artist, curator and writer Dylan Robinson’s calls for multi-sensory listening, and Hsuan Hsu’s work on of olfactory art to confront us materially with the realities of environmental risk, we consider, can a methodology of embodied listening allow us to confront the living legacies of the ongoing colonial project of extractivism and imagine shared ruderal futures from a position of listening?
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.023 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".