Bibliographic record
Abstract
"This Essay Has a Soundtrack" really does have a soundtrack. It is a piece of music composed, performed and recorded by the author that uses a processed version of the essay as its score. The recording of the composition is offered as a possible musical accompaniment to reading the score. While this places such a reading within the field of research-creation, the essay actually engages this field more through speculating about the essay form as a fluid, open, indeterminate and unsubstantiated thing that can, as Adorno puts it: "blow open what cannot be absorbed by concepts.” This engagement with the poetic, aesthetic potentials of the essay serves as an entrance to touching on aesthetic theory more generally, in contact with Montaigne, Adorno, Born, Menke, Seel, Lyotard, Culler, Cazdyn, and Trinh Minh-ha among others. While the essay suggests readers should search for and experiment with alternatives to the translation and interpretation of metaphors when thinking research-creation, the author, does this more as a performance, banging around in-between the thought of others, rather than as a sustained, cogent argument.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.007 |
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".