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Record W3120942410 · doi:10.26522/ssj.v14i2.2295

“Theorizing Our Place”: Indigenous Women’s Scholarship from 1985-2020 and the Emerging Dialogue with Anti-racist Feminisms

2021· article· en· W3120942410 on OpenAlexaffvenueabout
Elaine Coburn

Bibliographic record

VenueStudies in Social Justice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsYork University
Fundersnot available
KeywordsScholarshipIndigenousPraxisSociologyContext (archaeology)Gender studiesColonialismPoliticsEnvironmental ethicsPolitical scienceLawHistory

Abstract

fetched live from OpenAlex

In this article, I review contemporary Indigenous women’s scholarship, describing transformations from 1985 to the present, first to characterize this scholarship on its own terms and second to situate this literature with respect to recent, nascent dialogues with anti-racist feminisms. What is the focus and range of Indigenous women’s scholarship, from 1985 until today? What does this work seek to do, that is, what are the intertwined political and scholarly aims of this scholarship? I suggest that Indigenous women’s scholarly writing is concerned with resilience, or survival, resistanceor challenges to colonial power and relationships, and resurgence, or a turning-inward to renew Indigenous knowledges and practices. In the discussion, I briefly consider how the increasingly rich and diverse field of Indigenous women’s theorizing and praxis informs an emerging dialogue with anti-racist feminist scholars within the academy and in the broader context of colonial Canada.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0170.001
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 head0.032
GPT teacher head0.355
Teacher spread0.323 · 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 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
Published2021
Admission routes3
Has abstractyes

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