The Future Is Not What It Used to Be: Longevity and the Curmudgeonly Attitude to Change
Bibliographic record
Abstract
Abstract Boredom has dominated discussions about longevity thanks to Bernard Williams’s influential “The Makropulos Case.” I reveal the presence in that paper of a neglected, additional problem for the long-lived person, namely alienation in the face of unwanted change. Williams gestures towards this problem but does not pursue it. I flesh it out on his behalf, connecting it to what I call the ‘curmudgeonly attitude to change.’ This attitude manifests itself in the tendency, amongst those getting on in years, to observe that things are getting worse. Curmudgeonliness is typically met with dismissal because it often concerns changes that don’t radically inhibit the curmudgeon’s well-being or autonomy. I believe that taking the curmudgeonly attitude more seriously will provide insight into the longer-lived self and its relation to the future. Using Williams’s approach to longevity as the framework, I contend that—as with boredom—a sense of alienation born of curmudgeonliness can become terminal for the subject, rendering her unable to envision the future as a site of worthwhile activity. However, I also uncover ways in which this agential stasis is significantly distinct from boredom and constitutes a different worry and a different risk for the long-lived individual.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.035 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".