Bibliographic record
Abstract
Here is The Book / Or / The Woods, an epic song cycle that devours itself on repeat, taking cover in its own flames. We think epic in the sense of bpNichol writing Martyrology, Jabès with his books of books, Rosmarie Waldrop’s Curves to the Apple, Keith Waldrop’s Transcendental Studies, Harryette Mullen’s Recyclopedia, Craig Santos Perez’s from unincorporated territory, Nathaniel Mackey’s long song(s), & others. We think epic with these ongoing & collected meta-serial works rather than the traditional notion of the epic as heroic nation building story, though we borrow epic tropes from Dante’s supernal underworld forest (& infernal forested underworld), sing with Sappho’s lyre, are haunted by the spirit of Homer’s katabasis, & are formed by the Popol Vuh’s wordly cosmos, which influenced us before we read it.Y the monster is alone in the woods, enclosed by a highway : a preserve. The woods are made of paper; the paper forest burns & burns. Woods & monster are endangered, pressed into service, a hazard. So is the book pressed into service, danger & endangered. The forest is deforested & reforested, dance of shadow & flame, a fantasia of ecological return, the forest (enchanted) by itself. The haunted woods. The ghosts the ghosts of what. This is the world without us. & we are here as well. Here in the forest of language.
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 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.992 | 0.898 |
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; both teacher heads agree on what is shown here.
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".