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Record W3137918840 · doi:10.2478/stap-2020-0024

Two-Spirit Identities in Canada: Mapping Sovereign Erotic in Joshua Whitehead’s<i>Jonny Appleseed</i>

2020· article· en· W3137918840 on OpenAlexaboutno aff
Julia Siepak

Bibliographic record

VenueStudia Anglica Posnaniensia · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismSovereigntyQueerSociologyIdentity (music)AestheticsGender studiesRepresentation (politics)NormativeField (mathematics)DecolonizationAnthropologyHistoryPoliticsEpistemologyLawPhilosophyPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Abstract In colonial times, mapping the New World functioned as an inherent mechanism of exerting colonial domination over Indigenous lands, enacting settler presence on these territories. While the colonial cartographies projected ownership, the non-normative mappings emerging from Aboriginal writing provide an alternative to settler Canadian geography. This article focuses on the imaginative geographies depicted in Joshua Whitehead’s Jonny Appleseed (2018), which recounts the story of a young Two-Spirit man who searches for his identity in-between the reserve and the city. The objective of the analysis is to tie the representation of the contemporary queer Indigenous condition with the alternative mappings emerging from Whitehead’s novel. In order to address the contemporary Two-Spirit condition in Canada, the article applies current theories proposed by the field of queer Indigenous studies, including the concept of sovereign erotic , which further allows the presentation of the potential of Two-Spirit bodies to transgress colonial cartographies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.032
GPT teacher head0.274
Teacher spread0.242 · 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 designObservational
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

Citations4
Published2020
Admission routes1
Has abstractyes

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