Bibliographic record
Abstract
What are some disabled artistic approaches to indigeneity? This chapter examines the contemporary art practices of Oceanic artist Pelenakeke Brown, who resides in Aotearoa New Zealand, and Lenape and Potawatomi neuro-diverse artist Vanessa Dion Fletcher, who resides in Canada. Both artists have appropriated long held and respected practices tied to their Indigenous heritage through tatau and quillwork respectively in an attempt to establish a sense of place, a sense of cultural affinity, and a sense of who they are. Both artists have also used their unique disabled embodied knowledge to activate production of Indigenous traditions, customs and rituals, inspired initially through their mothers, and feminist guidance. They create their artwork through individual physical, cognitive and neuro-diverse capacities, be it through cerebral palsy or short-term memory loss, through choreography, space, time, and language. Their approaches posit disability as a methodology that frames the production of the work. In other words, disability perspective is an integral funnel or channel in the path to executing a final product or object. Their intersectional identities as disabled, Indigenous women are inextricably woven together. Brown and Dion Fletcher draw on their personal ties to these histories through multidisciplinary art forms.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".