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Record W4414771415 · doi:10.24908/lhps.v4i1.18814

Erased by Policy

2025· article· en· W4414771415 on OpenAlexaffabout
Syndel Thomas Kozar

Bibliographic record

VenueLiving Histories A Past Studies Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicFeminism, Gender, and Sexuality Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsIndigenousLegislatureAccountabilityHuman rightsEquity (law)Government (linguistics)Politics

Abstract

fetched live from OpenAlex

This article examines the persistent political violence perpetrated against Indigenous women and their descendants in Canada through the discriminatory and assimilatory policies embedded in the Indian Act. From its inception, the Indian Act has marginalized Indigenous women by privileging male status and systematically restricting their ability to pass on status rights to their children. Legislative remedies, including Bills C-31, C-3, and S-3, have failed to eliminate the core inequities, perpetuating a hierarchy of status categories and exacerbating the socioeconomic disadvantages faced by Indigenous women. The article critiques the Canadian government’s reluctance to adopt comprehensive reforms, such as the discarded “6(1)(a) all the way” amendment, which could have addressed longstanding inequities and improved access to status rights. Furthermore, the government’s reliance on programs like Jordan’s Principle, overwhelmed by backlogged requests, reflects inadequate support mechanisms for Indigenous populations. The article argues that the ongoing discrimination within the Indian Act not only violates the human rights of Indigenous women but also perpetuates their systemic marginalization, contributing to intergenerational harm. Addressing this issue requires the Canadian government to take accountability and enact meaningful legislative reforms to ensure equity and justice for Indigenous women and their descendants.

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 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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.770
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
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 head0.040
GPT teacher head0.398
Teacher spread0.358 · 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 teacher head, not a consensus.

Study designNot applicable
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

Explore more

Same venueLiving Histories A Past Studies JournalSame topicFeminism, Gender, and Sexuality StudiesFrench-language works237,207