Bibliographic record
Abstract
When thinking about the natural environment in the Anthropocene it can be hard to see beyond the present as we constantly try to defend that which remains. Some days it is hard to feel anything but despair. Informed by my experience of being queer in a straight society, I believe that a psychedelic audiovisual art practice derived from soundscape composition and shaped by queerness can offer a glimpse into a concrete utopian future and beyond a seemingly inevitable climate collapse. Beginning with an analysis of the sonic art of Hildegard Westerkamp and Phil Elverum I will explore two existing approaches to the representation of place through sound. Using examples from my creative practice I will demonstrate how abstraction, contradiction, and failure can come together to create a distinct affective, psychedelic future-facing experience, rooted in lived reality. I will show how these techniques can be deployed to transform field recordings and photographs of space into atmospheric evocations of a future place. These transcendent spaces have the potential to form a part of a wider cultural and political move towards meaningful action on climate change that is more than conservation; action that moves us towards the concrete utopia of a sustainable future.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.043 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".