Dayna Danger, Thirza Cuthand and Bannock Babes: Desire in Two-Spirit and Queer Indigenous Visual Culture in Relation to Land
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.028 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".