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Record W7036979770

Dayna Danger, Thirza Cuthand and Bannock Babes: Desire in Two-Spirit and Queer Indigenous Visual Culture in Relation to Land

2020· dissertation· en· W7036979770 on OpenAlexaffabout

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2020
Typedissertation
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsElectronic Arts (Canada)
Fundersnot available
KeywordsQueerIndigenousRelation (database)Visual cultureRepresentation (politics)Kinship
DOInot available

Abstract

fetched live from OpenAlex

Engaging with the interdisciplinary artistic practices of Dayna Danger, Thirza Cuthand and Bannock Babes, this paper discusses the importance of desire within Two-Spirit and queer Indigenous visual culture with ancestral ties to the Canadian Prairies. These artworks strive to reclaim Two-Spirit representation as a means to engage with prospering queer Indigenous furturity. In conjunction with these artists, using the curatorial and critical practices of David Garneau, Cathy Mattes, Michelle McGeough, and BUSH Gallery guides this research to link Two-Spirit curatorial methodologies. Given the lack of critical and curatorial methodologies that tend specifically to Two-Spirit ontologies, this paper acknowledges the fluidity of Two-Spirit identities in relation to land and locality, and therefore, is a summary of these research findings within my scope. Using Eve Tuck’s desire-based research frameworks, Gerald Vizenor’s concept of native survivance and Leanne Betasamosake Simpson’s knowledge of Biskaabiiyaang, they provide insight on navigating ideas around Two-Spirit and queer Indigenous visual culture and curatorial methodologies. These artist and curatorial practices demonstrate certain commonalities: the importance of cultural and spiritual safety, kinship ties and relationships to the land.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.059
GPT teacher head0.369
Teacher spread0.310 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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