Following non-human sonorous bodies - creating alternative urban futures
Bibliographic record
Abstract
This paper explores speculative sonic futures and examines entanglements through which sonic bodies and sonic thinking intra-actively materialise in an increasingly posthuman city. It poses the question: How can we cultivate affirmative, empowering, and transformative relationships in the city through active listening—by tuning into what is unseen, erased, or no longer apparent? Drawing on sonic workshops and research-creation experiments conducted in Montréal in collaboration with the PULSE Lab at Concordia University, we are particularly interested in exploring and speculating with non-human sonorous materialities, including hidden algorithms and shaping forces operating beyond the human sensorium. This is especially relevant within the context of the sentient city, where data flows and algorithmic tracking of human activities and behaviours are increasingly central to contemporary urban economies. We conclude by advocating for posthuman modes of listening, embedding speculative and experimental approaches to revealing and following the city’s unseen disruptions and materialities.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".