To Marsh: Propositions for Relating Otherwise (Creative Intervention)
Bibliographic record
Abstract
To Marsh is a web-based project working as a conduit for co-creation, sympoiesis, and "making together" through different creative practices (see https://tomarsh.ca/).It was created in 2022 in response to Robin Wall Kimmerer's (2013) invitation to engage with "the grammar of animacy:" a grammar that charts relations with other-than-human beings by reminding us of their sentience, agency and role as knowledge holders.Through a series of slow walks to the Marsh, currently known as "Cootes Paradise" in Hamilton, Ontario, Canada, the artists developed various responses to these emerging relations in the form of illustration, sound, code, and text-based propositions.These responses, hosted on the To Marsh website, explore multiple ways of relating to the natural world.Over the years, the Marsh has been subject to abuse and neglect, most recently (2014-2018) in the form of a 24-billion litre raw sewage spill.While physical containment efforts are important and ongoing, this project aims at a different kind of re-mediation, in which we learn to recognize and relate to the Marsh as a complex living being.This project is also a proposition offering online visitors the opportunity to pursue more intimate ways to relate to the land they are on, and, in turn, to build reworlding collaborations through creative practices.In this text, we outline the theoretical underpinnings of a project that is a creative practice of reworlding as it reimagines and challenges colonial ways of knowing that foreground anthropocentrism, human exceptionalism, and the objectification of the otherthan-human world.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.016 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.055 | 0.016 |
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".