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Moral Responsibility and Existential Attitudes

2022· book-chapter· en· W4212914858 on OpenAlexaff
Paul Russell

Bibliographic record

VenueOxford University Press eBooks · 2022
Typebook-chapter
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSkepticismPessimismExistentialismOptimismEpistemologyMetaphysicsPhilosophyEnvironmental ethicsPsychologyPositive economicsEconomics

Abstract

fetched live from OpenAlex

Abstract We might describe the philosophical issue of human freedom and moral responsibility as an existential metaphysical problem. Problems of this kind are not just a matter of theoretical interest and curiosity: They address issues that we care about and that affect us. They are, more specifically, relevant to the significance and value that we attach to our lives and the way that we lead them. According to the orthodox view, there is a tidy connection between skepticism and pessimism. Skepticism threatens a wide range of interests and concerns that themselves rest on the foundation of our self-conception as responsible moral agents. From this perspective, whereas skepticism licenses a degree of pessimism about our human predicament, the defeat of skepticism serves to vindicate optimism. In recent years this orthodox view of the relationship between skepticism and pessimism has been challenged. It has been argued, for example, that skepticism may be defended in much more optimistic terms. While we have reason to accept skepticism, we have no reason to draw any bleak or depressing consequences from this. Another way of severing the orthodox connection between skepticism and pessimism is to reject skepticism but deny that this will serve to secure or salvage any unqualified form of optimism. This chapter reviews and contrasts these various positions and approaches, beginning with an account of P. F. Strawson’s particularly influential statement of the relationship between the skeptical challenge and pessimism.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.995
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.063
GPT teacher head0.232
Teacher spread0.169 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations3
Published2022
Admission routes1
Has abstractyes

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