MétaCan
Menu
Back to cohort
Record W4401856181 · doi:10.1093/sp/jxae013

State Complicity: Settler Colonialism, Multisided Violence, and Missing and Murdered Indigenous Women and Girls in Canada

2024· article· en· W4401856181 on OpenAlexafffundabout
Paulina García‐Del Moral

Bibliographic record

VenueSocial Politics International Studies in Gender State & Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversity of Guelph
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsComplicityIndigenousColonialismState (computer science)Gender studiesSociologyCriminologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract This article theorizes and analyzes the Canadian state’s complicity in the crisis of missing and murdered Indigenous women and girls (MMIWG) in terms of the acts of omission (inaction) and commission (action) of the police and courts. Building on the intersectional perspective of Indigenous and antiracist feminist scholarship on MMIWG, I argue that these acts of omission and commission are rooted in a context of “multisided violence” that is colonial in nature: state action and inaction reproduce and normalize the conditions in which Indigenous women and girls can be murdered with impunity. I analyze reports by Indigenous and feminist civil society organizations as part of their transnational advocacy to compel the Canadian state to address MMIWG. I show that state acts of omission and commission are intertwined and reinforce each other through a pattern of inconsistent, deficient, and contradictory institutional responses to violence against Indigenous women and girls.

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)0.004
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 score0.073
Threshold uncertainty score0.529

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0190.012
Scholarly communication0.0050.001
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.058
GPT teacher head0.357
Teacher spread0.299 · 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

Citations2
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueSocial Politics International Studies in Gender State & SocietySame topicGender, Security, and ConflictFrench-language works237,207