Bibliographic record
Abstract
In this major new study, James Aaron Green provides the first account of literary thought experiments published from 1878 to 1918 that speculate on the prospect of radically longer lives. Green argues that these fictions helped negotiate the emergent experiences and meanings of age and aging during years when long-established norms were being eroded and supplanted. By recovering fictions by lesser-known writers and reevaluating those by more familiar writers like H. G. Wells and J. M. Barrie, the study reveals the surprising abundance and formal diversity of such speculative accounts. Through readings supported by archival materials (antiaging advertisements, medical treatises), these accounts are shown to have intervened on a wide range of scientific and social questions related to age and aging—from transfusion to colonialism, and second chances to apocalyptic demography. Ultimately, Green’s innovative historicist study proves how close attention to fictions of radical life extension can not only renovate our understanding of historical attitudes to age and aging but also those of today.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.017 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".