Bibliographic record
Abstract
This Element explores the theme of 'Gothic sympathy' as it appears in a collection of 'Last Man' novels. A liminal site of both possibility and irreconcilability, Gothic sympathy at once challenges the anthropocentric bias of traditional notions of sympathetic concern, premising compassionate relations with other beings – animal, vegetal, etc. – beyond the standard measure of the liberal-humanist subject, and at the same time acknowledges the horror that is the ineluctable and untranslatable otherness accompanying, interrupting, and shaping such a sympathetic connection. Many examples of 'Last Man' fiction explore the dialectical impasse of Gothic sympathy by dramatizing complicated relationships between a lone liberal-humanist subject and other-than-human or posthuman subjects that will persist beyond humanity's extinction. Such confrontations as they appear in Mary Shelley's The Last Man, H.G. Wells's The Time Machine, and Richard Matheson's I Am Legend will be explored.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".