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Record W3043605587 · doi:10.18357/tar111202019427

Reclaiming Indigenous Sexuality in Vancouver

2020· article· en· W3043605587 on OpenAlexaffvenueabout
Madeline Burns

Bibliographic record

VenueThe Arbutus Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSovereigntyIndigenousHuman sexualityGender studiesNarrativeScholarshipSociologyState (computer science)Political scienceLaw

Abstract

fetched live from OpenAlex

This paper illustrates Indigenous sexual being on the unceded territories of the xʷməθkʷəy̓əm (Musqueam),Sḵwx̱wú7mesh (Squamish), and səl̓ilwətaɁɬ (Tsleil-Waututh) Nations, through a narrative of resurgenceand sovereignty. Discussions regarding Indigenous sexual being in Vancouver within scholarship andmedia tend to share a single story which focuses narrowly on a theme of violence. This paper utilizesthe Indigenous concept of a Sovereign Erotic (Driskill, 2004) to illustrate how sexuality can be used as asovereignty practice. I exemplify this concept as an active practice of decolonization through erotics byexploring the works of Virago Nation, an all-Indigenous burlesque group. This paper works to exposenarratives of colonization and gendered violence in Vancouver, in order to share a competing narrativeof sovereignty through sexuality. This narrative of sovereignty provides a broader scope of Indigenoussexuality in Vancouver by including those who reflect resurgence, reclamation, and hope.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.074
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0050.007
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.048
GPT teacher head0.298
Teacher spread0.250 · 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

Citations3
Published2020
Admission routes3
Has abstractyes

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