Like Electronic Techno Music: The Accelerating Rhythms of Collapsing Cryospheric Auralities
Bibliographic record
Abstract
With its mutating cracks, bleeps, and booms, the contemporary cryosphere speaks in accelerating volumes. A number of contemporary artists transform these sounds of collapsing, disappearing ice into broadcastable frequencies. Rather than a remote distance beyond the reach of relevance, these artworks translate the effects of Antarctica’s melting ice into galvanizing sonic affects. These strange sonics make the pre-existing, myriad connections between ice shelves and human selves apparent. This essay surveys the work of artists Andrea Polli, Adrian Wood (in collaboration with glaciologist Grant MacDonald), Luftwerk, and Himali Singh Soin, in order to think through a phenomenon which I call ‘collapsing cryospheric auralities’. More than purely doom-laden dictatics, these sonic artworks strive to propagate hope in equal measure: gestating new trajectories and other futures beyond the seemingly intractable impasses of the present. Article received: April 20, 2021; Article accepted: June 21, 2021; Published online: September 15, 2021; Original scholarly paper
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 | 0.001 | 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 | 0.000 | 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".