Raven, Dog, Human: Inhuman Colonialism and Unsettling Cosmologies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract As capitalism's unintended, and often unacknowledged, fallout, humans have developed sophisticated technologies to squirrel away our discards: waste is buried, burned, gasified, thrown into the ocean, and otherwise kept out-of-sight and out-of-mind. Some inhuman animals seek out and uncover our wastes. These ‘trash animals' choke on, eat, defecate, are contaminated with, play games with, have sex on, and otherwise live out their lives on and in our formal and informal dumpsites. In southern Canada's sanitary landfills, waste management typically adopts a ‘zero tolerance’ approach to trash animals. These culturally sanctioned (and publicly funded) facilities practice diverse methods of ‘vermin control.’ By contrast, within Inuit communities of the Eastern Canadian Arctic, ravens eat, play, and rest on open dumps by the thousands. In this article, we explore the ways in which western and Inuit cosmologies differentially inform particular relationships with the inhuman, and ‘trash animals' in particular. We argue that waste and wasting exist within a complex set of historically embedded and contemporaneously contested neo-colonial structures and processes. Canada's North, we argue, is a site where differing cosmologies variously collide, intertwine, operate in parallel, or speak past each other in ways that often marginalize Inuit and other indigenous ways of knowing and being. Inheriting waste is more than just a relay of potentially indestructible waste materials from past to present to future: through waste, we bequeath a set of politically, historically, and materially constituted relations, structures, norms, and practices with which future generations must engage.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 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) | 0.002 | 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 it