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Record W7056583355

An Examination of Settler-Colonial Genocide in Canada at the Microlevel of Reserves

2025· other· en· W7056583355 on OpenAlexaffabout

Bibliographic record

VenueYork University Digital Library (York University) · 2025
Typeother
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsYork University
Fundersnot available
KeywordsGenocideIndigenousPoliticsConventionColonialismTreaty
DOInot available

Abstract

fetched live from OpenAlex

Genocide of the Indigenous peoples in Canada under colonization and settler-colonialism, is analyzed through Decolonization theory, using the United Nations Convention on Genocide definition of genocide, formally ratified by Canada in 1952. This includes the debate of ‘cultural’ genocide verse genocide period. Settler-colonialist mode of socioeconomic and political operation continues genocide via attrition, particularly via the healthcare disparity faced by Indigenous peoples. Issues: residential schools, overincarceration, obesity, inaccessibility of safe drinking water, opioid use, and the 60s scoop to present day millennial scoop. In a given Indigenous society, the elements and acts defining genocide are discernable, here from documents such as reports by the departments and institutional structures that comprise the Canadian system that have been directed towards Indigenous peoples. This is because genocide continues to be an ongoing process. Biigtigong Nishnaabeg First Nation Reserve my home community, is the societal example analyzed for examples substantive of the UN definition.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.742

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0290.011
Scholarly communication0.0060.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.005
GPT teacher head0.140
Teacher spread0.136 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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