Stitching the Wound: Land-based Gestures of Healing and Resistance in the Work of Postcommodity and Maureen Gruben
Bibliographic record
Abstract
Through dismantling the territorial integrity of the modern nation-state, Indigenous sovereignty threatens state imposed hegemonic systems. While these systems exist at the threshold spatially—borders and boundaries—they are the ideological epicenter for controlling human and non-human life, rendering them manageable by the state. These borders are also perpetually liminal spaces, and it is in this liminality that artists intervene through poetics, confronting state rhetorics and exercising sovereignty to address colonial wounds. In 2015 and 2017, two land-based ephemeral art projects were created to challenge the terms by which territory is instrumentalized in order to justify the commodification of both land and humans. In 2015, the artist collective, Post-commodity, set up a land-based art installation, Repellent Fence, intersecting the US/Mexico border in an effort to “stitch” the Americas together again. The gesture of stitching is also employed in Maureen Gruben's Stitching My Landscape from 2017 in which Gruben stitched a segment of ocean ice with vibrant red broad cloth near her home in Tuktoyaktuk, Northwest Territories alongside the Ibyuk Pingo, a national landmark administered by Parks Canada. Both of these projects provide entry points into the various methods by which land is abstracted into an oppressive and singular form. They push back against the rigidity of prescribed borders, instead investigating more fluid entanglements with land.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.039 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".