Bibliographic record
Abstract
When Blanchot sketches the obscure space of the other night, he describes it primarily in terms of sound. The vocation of the other night, the domain of inspiration, which is approached because it promises to enable artistic works but ultimately puts them at the utmost risk, turns out to be one’s own “eternally reverberating echo.” In my article, I want to trace how such nocturnal sounds are articulated in works of art across different media, especially by staging breath. Echoing Blanchot, these works indicate how hearing the night and hearing breath, the sound of physical inspiration, coincides with hearing what constitutes the respective work’s medial and material bases. In Virginia Woolf’s novels Jacob’s Room and The Waves, an impersonal, neutral narrative voice resounds in a “murmur of air,” “tremulous with breathing,” spreading darkness across space and time. The visitors’ exploration of Kimsooja’s installation To Breathe: Bottari ends in a completely dark anechoic chamber where visitors start hearing their own breath. By creating this uncanny moment of hearing one’s own respiration as an external and disembodied sound, the spatial installation points to what essentially determines it: the bodily movements of the participants. “Nightmarket,” a track by Burial, is a labyrinthine soundscape consisting mainly of muffled whispering, rustling, crackling and audible breath. Through the acoustic proximity of the recorded breath and the vinyl crackles, the track evokes its own medial constitution and history: it displays traces of the organic basis of voice as well as the analogue medium in the digital.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.026 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".