Transcorporeal Witnessing: Re-Figuring Toxic Entanglements Through the Arts
Bibliographic record
Abstract
This article seeks to extend discourses of embodiment by deploying Alaimo’s concept of transcorporeality in the context of our grappling with complexities of bearing witness to deforestation and ecological destruction in Alberta’s Tar Sands. Transcorporeality captures senses of porosity among human, nonhuman, and more-than-human bodies and constitutes a productive perspective from which to ethically engage with ecological destruction. Through our artwork and dialogic exchange with each other, and our embodied thinking with the works of other artists and scholars concerned with ecological atrocity, we attend to challenges, nuances, and possibilities of witnessing in ways that both attune to our embodiment and seek to decenter the human. We contend that arts-based practices of being, knowing, and doing offer openings for re-figuring the toxic entanglements that pervade current ecological relations and illustrating pathways toward more regenerative futures.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".