Celebrating Pluralism Six Years Later: Visual Transculture/s, Education, and Critical Multiculturalism
Bibliographic record
Abstract
In this lecture I examine changes in my thinking, and in multicultural education, since the publication of Celebrating Pluralism: Art Education and Cultural Diversity (Chalmers, 1996). We need to move from “celebratory” to “critical” or “insurgent” multicultural art education and to increasingly acknowledge and embrace changing transcultural migratory experiences. While continuing to teach about art in a variety of cultures, art, and art education, need to be used to make a difference. The unjustness of injustice needs to increasingly permeate our work. It is not so much “where we're from” that matters, “it is where we're at.” An alternate subtitle for this lecture could be borrowed from a new documentary film supported by the Australian Centennial Fund. Parra (Ang & Goldman, 2001), about a diverse group of Lebanese-Australian teenagers at a shopping center in Parramatta, a suburb of Sydney, is subtitled: It's not where you're from, it's where you're at.
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 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 | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".