Bibliographic record
Abstract
Images of landscapes and encounters with the natural world feature prominently throughout Stanley Cavell’s texts — so much so that Coleridge’s romantic visions of the natural environment (the cold, icy region through which the Mariner’s ship drifts) represent one of the cornerstones of Cavell’s understanding of “romanticism as working out a crisis of knowledge,” and “skepticism [as] what romantic writers are locked in struggle against.” Indeed, skepticism as an interpretation of “metaphysical finitude” as “an intellectual lack” is seen by Cavell as something that has to be overcome (and not, say, refuted); and this overcoming, at least when it comes to the external world skepticism, is envisioned as the “acceptance” of the world, or even as “the idea of a romance with the world.” The “world” romantic writers have in mind is, of course, the natural world, for we should “Let Nature be [our] teacher.” It seems, then, that overcoming of skepticism is inextricably bound up with accepting the natural world and its “gift of life.
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 | 0.001 | 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 | 0.001 | 0.001 |
| 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 | 0.000 |
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 teacher head, 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".