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Record W2808441002 · doi:10.1111/anti.12403

Toxic Encounters, Settler Logics of Elimination, and the Future of a Continent

2018· article· en· W2808441002 on OpenAlex
Neil Nunn

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAntipode · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Toronto
FundersLupina Foundation
KeywordsColonialismNarrativeIdeologyHegemonyNormativePoliticsSociologySubject (documents)Environmental ethicsPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract This paper engages the relationship between toxic geographies and settler colonialism. By bringing to light larger structures and histories that underpin the settler colonial project, I examine a series of toxic encounters and consider the racialised hegemonic narratives that enable the production toxicity. Among these is a methylmercury contamination in Northern Ontario, just upstream from Grassy Narrows First Nation, and a cluster of toxic conversations that bled through social media in the wake of the murder of Colten Boushie, a 22‐year‐old Cree man in Saskatchewan, Canada. I argue that examining the normative ideologies, settler narratives, and socio‐political structures that are involved in the production of toxicity provides valuable insight into the diffuse and relational colonial logics that define the lives that are privileged as the standard, and those that fall outside the regulatory category of the Human, and as a result, are subject to elimination.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.283
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it