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Record W4407956654 · doi:10.21476/pp.2024.92547

The Afterlives of <i>Terra Nullius</i>: Unmarked Graves, Indigenous ‘Discoveries’, and Colonial After-Thoughts

2025· article· en· W4407956654 on OpenAlexaboutno aff
Kevin Bruyneel

Bibliographic record

VenuePerformance Philosophy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismEthnologyArtHistoryAnthropologyGeographySociologyBiologyArchaeologyEcology

Abstract

fetched live from OpenAlex

The 2021 discovery of the unmarked graves of Indigenous children by the Tk’emlúps te Secwépemc First Nation on the grounds of the former Kamloops Indian Residential School in British Columbia revealed the brutal genocide at the heart of Canadian colonial rule. Canadian governments and the Catholic Church had sought to leave this issue buried, literally and figuratively, by asserting a modern form of terra nullius in positing that these and other residential schools were ‘empty lands’ in the sense that they did not contain the remains of Indigenous children, even as Indigenous nations knew the truth. This essay argues that these gruesome discoveries are evidence of the after-lives of terra nullius of modern settler colonialism, where Indigenous peoples’ deaths are a colonial after-thought in settler society, which leads to settler denials and avoidance of responsibility for the damage done. This colonial after-thought can be traced right on up to Pope Francis’ apology for the Church’s role in the schools. In resistance to the settler effort to produce Indigenous peoples as ontological absences, as colonial after-thoughts, nations such as the Tk’emlúps te Secwépemc demonstrate the power of Indigenous resurgence through their persistence in nation and movement building.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.205
Threshold uncertainty score0.408

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.061
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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