Bibliographic record
Abstract
Research statement: Research Background: Into the Black was selected for an international exhibition Contemporary Australia: a visual narrative of the land and its people by both indigenous and non- indigenous artists. While this was a very broad theme about identity in and of Australia, which has been pursued by many Australian artists, my interest was in developing my ongoing work into environmental concerns of climate change especially in relation to bushfire that is identified with and so prevalent in SE Australia and of which there is less evidence in international contexts. Research Contribution: Into the Black, a diptych, evoked an atmosphere of bushfire - smoke, wind and noise through text and image rather than illustrated. Unusually the text part of the diptych used the remains of fire itself, the ash resulting from burned wood, to create the text, a portion of John Ruskin's writings, about the incredible noise of the wind associated with bushfire. With the addition of a photographic close up of smoke the diptych represents the more abstract sights and sounds of bushfire. Research Significance: The work was selected for Kyoto Hanga by curators, Noreen Grahame and Akky von Ogtrop and included the work of 38 invited Australian artists including Fiona Hall, Raymond Arnold, Jorg Schmeisser, Judy Watson and John Wolseley along with 107 Japanese artists, supported by the Australian Government through Department of Foreign Affairs and Trade and Australia-Japan Foundation. Exhibitions were held in Kyota Municipal Museum of Art and Fukuyama Museum of Art. This was the seventh international collaborative exhibition, the first with Australia and highlighted similarities and differences between two very different cultures.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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; both teacher heads agree on what is shown here.
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".