Exhibiting elemental truths in the Perth Festival: Polarity: Fire & Ice and Wetland
Bibliographic record
Abstract
During the peak of one of Perth’s hottest summers, Polarity: Fire & Ice at Fremantle Arts Centre (FAC) is yet another timely call for meditations on ecological change brought about by global warming. Showing as part of the 2024 Perth Festival and built entirely of photographic and video works, Nhanda and Nyoongar curator Glenn Iseger-Pilkington brings together Australian artists Cass Lynch and Mei Swan Lim and Tim Georgeson who collaborates with the Indigenous Desert Alliance. The northern hemisphere’s Adam Sébire and Maureen Gruben locate the aesthetics and symbolism of (melting) ice down-under. Collectively, all the works communicate stories of connection to Country in the age of climate change, and nowhere is immune to this crisis: vast tracts of the earth from Boorloo/Perth to Kalaallit Nunaat/Greenland above the Arctic Circle, Tuktoyaktuk in Canada’s Northwest Territories, and Australia’s central and western deserts and eastern seaboard.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".