Culture warriors : education and awareness at the Inaugural National Indigenous Art Triennial organized by the National Gallery of Australia, 2007-2009
Bibliographic record
Abstract
This thesis discusses the inaugural National Indigenous Art Triennial: Culture Warriors organized and hosted by the National Gallery of Australia and provides a critical analysis of the National Indigenous Art Triennial: Educational Resource that accompanied the exhibition. The aim of this discussion and analysis is to identify elements from the educational program at the National Gallery of Australia (NGA) that effectively increase knowledge and appreciation of Indigenous art at the Gallery. The premise behind my analysis consists of the possibility and feasibility of using similar educational programs in a Canadian context. Using an exploratory approach, this thesis brings attention to elements that could potentially be of benefit to the National Gallery of Canada (NGC) in the development of future educational programs associated with Indigenous Art exhibitions. It is well-known that, in the past, the NGC has been criticized for its exhibition, collecting, and dissemination practices with regards to Indigenous art. Having undergone considerable changes since the 1990's, the NGC is beginning to look like a different institution especially with the establishment of an Indigenous Art Department in August 2007. One particular area criticized in the past about the NGC has been public access to and information about Indigenous art at the Gallery. As stated by Alfred Young Man, Department Head of Indian Fine Arts, at the First Nations University of Canada, in 2008; "There needs to be a better way for people who are looking for Aboriginal art at the National Gallery to find it, and learn about it." 1 Today, the NGC's mandate seeks to "increase the knowledge, awareness and appreciation of Indigenous art in Canada and internationally."2 With its Indigenous Art Department currently in a relative stage of infancy, it is a logical time to be looking at the educational tools being developed and implemented at similar institutions, such as the NGA, for ideas as to how the NGC can fulfill its present-day mandate. 1 Alfred Young Man, (Department Head, Indian Fine Arts, First Nations University of Canada) in discussion with Jacinthe Soulliere, June 2008 as quoted in her MA Thesis; The Stone that Cracked the Wall between the Institution and the First Nation Artist: the National Gallery of Canada, 1980-2008, (Montreal: Concordia University, 2009), 68. 2 National Gallery of Canada, A Brief History: National Gallery of Canada Indigenous Art Collection, (Ottawa: NGC, 2009), http://www.gallery.ca/irnages/History_IndigenousArt.pdf
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".