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Record W4416989091 · doi:10.1515/9781779400673

On Settler Colonialism in Canada: Lands and Peoples

2025· book· W4416989091 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Regina Press eBooks · 2025
Typebook
Language
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismIndigenousRacializationOpposition (politics)AlibiState (computer science)LegitimacyWhite (mutation)

Abstract

fetched live from OpenAlex

An unflinching examination of the impacts of settler colonialism from first contact to the contemporary nation state. On Settler Colonialism in Canada: Lands and Peoples is the first installment in a comprehensive collection investigating settler colonialism as a state mandate, a structuring logic of institutions, and an alibi for violence and death. The book examines how settler identities are fashioned in opposition to nature and how eras of settler colonialism have come to be defined. Scholars and thinkers explore how settlers understood themselves as servants of empire, how settler identities came to be predicated on racialization and white supremacy, and more recently, how they have been constructed in relation to multiculturalism. Featuring perspectives from Indigenous, Black, mixed-race, and other racialized, queer, and white European-descended thinkers from across a range of disciplines, On Settler Colonialism in Canada: Lands and Peoples addresses the fundamental truths of this country. Essays engage contemporary questions on the legacy of displacement that settler colonialism has wrought for Indigenous people and racialized settlers caught up in the global implications of empire. Asserting that reconciliation is a shared endeavor, the collection’s final section exposes the myth at the heart of Canada’s constitutional legitimacy and describes the importance of affirming Indigenous rights, protecting Indigenous people (especially women) from systemic violence, and holding the Canadian settler nation state—which has benefited from the creation and maintenance of genocidal institutions for generations—accountable.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.135
Threshold uncertainty score0.979

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.009
Science and technology studies0.0320.014
Scholarly communication0.0090.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.012
GPT teacher head0.221
Teacher spread0.208 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Regina Press eBooks→Same topicIndigenous Health, Education, and Rights→French-language works237,207→