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Record W3010035666 · doi:10.24908/jcri.v7i1.13908

The Reimagining Kinship, Gender, and Sexuality in Indigenous Communities Colloquium: An Overview and Reflective Essay

2020· article· en· W3010035666 on OpenAlexaffvenueabout
Natasha Stirrett

Bibliographic record

VenueJournal of Critical Race Inquiry · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsQueen's University
Fundersnot available
KeywordsKinshipIndigenousGender studiesHuman sexualitySociologyRace (biology)Diversity (politics)Anthropology

Abstract

fetched live from OpenAlex

The following provides highlights from the Reimagining Kinship, Gender, and Sexuality in Indigenous Communities Colloquium, a one-day event held in Kingston, Ontario at Queen’s University in January 2019. It was hosted by the Journal of Critical Race Inquiry (JCRI) and the Department of Gender Studies, Sexual and Gender Diversity Certificate Program. The overarching aim of the day was to provide a space for meaningful dialogue on gender, sexuality, cultural revitalization and relations within Indigenous communities. This special section of this Journal of Critical Race Inquiry (JCRI) issue highlights some of the Indigenous intellectual work emerging from the Colloquium. The written pieces presented here cover some of the themes related to love, two-spirit identities, governance, kinship, consent, storytelling, and belonging. It is our hope the Reimagining Kinship, Gender and Sexuality in Indigenous Communities Colloquium and this special report from JCRI will spark further conversations and ideas that will contribute to the cultural resurgence of our Indigenous communities and knowledges across Turtle Island and among all our relations—human and more-than-human.

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)0.004
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 score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.178
GPT teacher head0.464
Teacher spread0.286 · 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

Citations1
Published2020
Admission routes3
Has abstractyes

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