Flying with the bird: A posthuman-a/r/tographic rethinking of decolonization
Bibliographic record
Abstract
This article rethinks decolonization through the lens of posthuman-a/r/tography, a theoretical framework that integrates posthumanist philosophy with a/r/tographic methodology. The inquiry was initiated by a chance encounter with a seagull perched atop sʔi:ɬqəý qeqən , a sculpture representing First Nations culture on the University of British Columbia (UBC) campus in Vancouver, Canada. Inspired by contiguity in a/r/tography, and drawing on visual artworks, narrative, avian visual systems and quantum physics, I sought to challenge dominant understandings of decolonization and contribute to a reimagined interpretative pathway. Later, as an educator, I extended this inquiry into my K–12 art classroom, where students engaged in learning with and from non-human entities. Their responses open new possibilities for decolonial pedagogy. I argue that decolonization is not only an act of integration and/or reconciliation between Indigenous people and non-Indigenous people but also an ongoing process of entangled becoming among beings, events, perspectives and relationships.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.053 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".