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Record W4229458455 · doi:10.1017/can.2022.19

The Future Is Not What It Used to Be: Longevity and the Curmudgeonly Attitude to Change

2021· article· en· W4229458455 on OpenAlexaff
Kathy Behrendt

Bibliographic record

VenueCanadian Journal of Philosophy · 2021
Typearticle
Languageen
FieldNeuroscience
TopicMind wandering and attention
Canadian institutionsWilfrid Laurier University
FundersUniversity of GalwayNational University of Ireland
KeywordsBoredomAlienationCognitive dissonanceSocial psychologyAutonomyAestheticsLongevityPsychologyWorryDismissalEpistemologySociologyEnvironmental ethicsPhilosophyPolitical scienceLawGerontologyMedicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.708
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.100
GPT teacher head0.286
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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