inVISIBILITY: Indigenous in the city - Indigenous artists, Indigenous youth and the project of survivance
Bibliographic record
Abstract
The inVISIBILITY exhibition featured urban Indigenous artists whose work addresses issues of urban Indigeneity and education. Through their work, the artists simultaneously clarify and complicate stories of schooling told by Indigenous students, resulting in an exhibition that called on stakeholders in education and the public to think and respond. In this paper we consider visual art in the exhibition alongside stories told by Indigenous students. Both the artists and the students describe the ways in which they “don’t (didn’t) fit in school and schools don’t (didn’t) fit them.” It is their Indigeneity that, in different ways, creates the rupture. Working with a particular conception of presence articulated by Gerald Vizenor (1994), who explains that survival plus resistance equals survivance, we investigate and describe the rupture. Drawing on the work of scholars in the field of Indigenous art including Jolene Rickard (20013, 1992), Greg Hill (2013, 2011), Gerald Vizenor (2008, 2013,), Gerald McMaster (2013) and Heather Igloliorte (2013), we position our analysis within an emerging body of literature addressing the continuous presence of Indigenous peoples in spaces of cultural significance for knowledge-making - including museums, galleries and schools.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.048 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.003 | 0.005 |
| 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".