Sound matters: Towards an enactive approach to hearing media
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article explores and proposes a model of hearing based upon an emergent line of thought known as the ‘enactive’ or ‘embodied cognition’ approach. This approach views the various modes of perception (sight, hearing, etc.) as styles of relating rather than processes carried out in the brain. Put another way, these approaches envision experience as constituted by embodied, perceptual relationships to the world. According to the phenomenological perspective of Maurice Merleau-Ponty, every self is constituted by perceptual, embodied relations within a lifeworld. For Merleau-Ponty, and for scholars like Francisco Varela, Alva Noë and Shaun Gallagher, this is no metaphor. It is a material description of the ordinary and everyday relations that constitute our selves in the world. As Noë reports, breakthroughs in neuroanatomical and neuropsychological research methods have led to considerable excitement and energy being poured into cognitive studies. It is thought that by these means we might even be able to ‘see’ consciousness at work. Yet Noë is highly sceptical of this ambition because an ‘explanatory gap’ remains between the data (images of brain activity, etc.) and true understanding of perceptual experience. Working from this critique, Noë and Kevin O’Regan have argued convincingly for a sensory-motor account of vision and consciousness. Currently, there is virtually nothing written on the possibilities for an enactive model of hearing. Therefore, my goal in this article is to initiate a sketch of such a model. I contend that this alternative approach may prove to be very enlightening with respect to studies of film and television reception, which otherwise tend not to notice the meaning-making activities of the body.
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.
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 | 0.000 |
| 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 | 0.001 |
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 it