“Deeper Than Even the Grain Goes”: Attending to Sound as Pedagogical Practice in Alphonso Lingis’s The Murmur of the World
Bibliographic record
Abstract
This article uses Alphonso Lingis’s essay The Murmur of the World as a catalyst for a phenomenological inquiry into the experience of making room for an articulate world; a world that speaks. A great deal has been written about vision as our primary source of insight and understanding. Visual perception dwarfs the other modalities by which we know the world. In The Murmur of the World, Lingis calls us into the realm of background noise where things hum withactivity, but are rarely noticed. I propose that the soundscape can be lifted out and re-animated, and so, too, our world, with deeper awareness and innovative listening. Drawing on the work ofJane Bennett and Theodor Adorno, I suggest a creative, pedagogical practice may bring forth for us the community of vital, expressive presences in which we are immersed.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.041 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".