Bibliographic record
Abstract
For too long, the Earth has been used to ground thought instead of bending it; such grounding leaves the planet as nothing but a stage for phenomenology, deconstruction, or other forms of anthropocentric philosophy. In far too much continental philosophy, the Earth is a cold, dead place enlivened only by human thought—either as a thing to be exploited, or as an object of nostalgia. Geophilosophy seeks instead to question the ground of thinking itself, the relation of the inorganic to the capacities and limits of thought. This book constructs an eclectic variant of geophilosophy through engagements with digging machines, nuclear waste, cyclones and volcanoes, giant worms, secret vessels, decay, subterranean cities, hell, demon souls, black suns, and xenoarcheaology, via continental theory (Nietzsche, Schelling, Deleuze, et alia) and various cultural objects such as horror films, videogames, and weird Lovecraftian fictions, with special attention to Speculative Realism and the work of Reza Negarestani. In a time where the earth as a whole is threatened by ecological collapse, On an Ungrounded Earth generates a perversely realist account of the earth as a dynamic engine materially invading and upsetting our attempts to reduce it to merely the ground beneath our feet.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".