A queer phenomenology of furniture music: A case study of Alvin Lucier’s I am sitting in a room (1969) as musical furniture
Bibliographic record
Abstract
Disciplinary background A. I am sitting in a room: a statement famously pronounced by the American experimental composer, Alvin Lucier (1931Lucier ( -2021)). Perhaps we have not yet fully considered how the room, in some way, also sits with us. How did we come to take up the room in which we sit, how was the room already ready for our arrival, and what do we hear and/or listen to in these spaces? These are some of the questions regarding furniture music (music that is heard but not listened to) that are prompted by feminist scholar, Sara Ahmed's queer phenomenology (Ahmed, 2006), which is not a phenomenology of queer experience (which is the philosophy of experience or consciousness as it relates to queerness), but rather, a queering of phenomenology. Like Gavin Lee (Lee, 2020), I foreground queer phenomenology as disorientation.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.035 | 0.023 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".