Bibliographic record
Abstract
In this paper, I will propose the notion of “ecological immunity” as a useful conceptual tool for thinking about the Anthropocene. The term refers to a basic condition of all life: in order to flourish, an organism must insulate itself from its environment and maintain a stable interior space which can support the organism’s vital functions, immunizing it against the dangerous flux of its ecological environment. The history of the human species can be written as a process by which this internal environment is progressively explicated and exteriorized. The Anthropocene marks the historical moment when these strategies for immunization reach an absolute limit: as the biosphere is itself revealed to be a finite interior, the outside disappears. It is no longer sufficient to immunize the human collective against the ecological environment; instead, the challenge becomes the maintenance of the biosphere as a whole, now understood as the last immunitary container. Kim Stanley Robinson’s science fiction novel 2312, I argue, can be read as an extended allegory of the problem of ecological immunity and a perceptive exploration of its biopolitical implications.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| 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".